data engineering lead

ICAEW

<div>
 
 At The Institute of Chartered Accountants England &amp; Wales (ICAEW), you'll be part of an organisation that's shaping the future of business, finance and the accountancy profession on a global scale. Our bold
 
 Direction 2030
 
 strategy puts members, innovation, sustainability and trust at the heart of everything we do; creating an exciting, forward looking environment where your work has real impact. We invest in our people through our benefits package, continuous development and a supportive, inclusive culture that empowers you to grow and thrive. If you're looking for a role with purpose, influence and opportunity, ICAEW is a place where your future can truly take shape.
 
 
 
 
 We're looking for a Data Engineering Lead to join our team in Milton Keynes on a permanent basis. This role offers a salary of &pound;75,000 - &pound;85,000 per annum with a hybrid working pattern.
 
 
 
 
 ICAEW is evolving the way it manages and uses data by modernising how data is ingested, modelled and shared across the organisation. This work will help improve analytics, reporting and decision-making across a wide range of business areas.
 
 
 
 
 
 
 As Data Engineering Lead, you will provide technical leadership for ICAEW's data engineering capability, combining hands-on engineering with the leadership of a small team of two data engineers. Working closely with the Data Analytics &amp; Reporting team, Data Architect, Data Governance Manager and wider Technology colleagues, you will establish and embed best practice in data engineering, ensuring data platforms, pipelines and models are secure, scalable and fit for purpose.
 
 
 
 
 What you will be doing:
 
 
 
 
 
 
 <ul>
 <li>
 Lead, mentor and develop the data engineering team, ensuring delivery of robust, reliable pipelines and platforms
 </li>
 <li>
 Manage delivery of data engineering projects, ensuring timely outputs aligned to ICAEW's transformation programme
 </li>
 <li>
 Define and enforce engineering standards, patterns and best practices across the team
 </li>
 <li>
 Design and implement scalable data architectures including data lakes, warehouses and integration layers
 </li>
 <li>
 Ensure data is accessible, well-structured and compliant with governance, quality and security requirements
 </li>
 <li>
 Work as a peer to the Data Analytics &amp; Insights Lead, ensuring engineering and analytics capability develop in step with each other
 </li>
 </ul>
 <li>
 </li>
 
 
 
 
 
 
 
 
 
 
 What you will need:
 
 
 
 
 
 
 <ul>
 <li>
 Substantial experience in data engineering, with a previous role in a lead or senior engineering capacity
 </li>
 <li>
 Proven track record leading data engineering delivery within a Microsoft-first environment - Azure Data Factory, Databricks, Synapse, Azure Data Lake
 </li>
 <li>
 Hands-on experience building and managing ETL/ELT pipelines, data lakes and data warehouses in a cloud environment
 </li>
 <li>
 Proficient in Python and SQL, familiarity with Scala or R advantageous
 </li>
 <li>
 Experience with data orchestration and workflow management tooling such as Azure Data Factory or Airflow
 </li>
 </ul>
 
 
 
 Please see full job description attached.
 
 
 
 What you can expect from us
 
 
 
 We believe doing your best work starts with feeling supported both professionally and personally. That's why we offer a range of benefits designed to give you flexibility, security, and peace of mind:
 
 <ul>
 <li>
 A generous 9% pension
 </li>
 <li>
 Healthcare cash plan
 </li>
 <li>
 Private Medical Insurance
 </li>
 <li>
 Life assurance at 4x your salary
 </li>
 <li>
 24 days' holiday, and the option to buy or sell extra days
 </li>
 <li>
 Hybrid working
 </li>
 <li>
 Everyday savings through gym discounts, travel loans, and retail perks
 </li>
 <li>
 Enhanced family leave, including up to 6 months on full pay
 </li>
 <li>
 Ongoing wellbeing support, including access to CABA
 </li>
 <li>
 A paid day each year to volunteer for a cause that matters to you
 </li>
 </ul>
 
 It's all part of creating an environment where you can thrive, in work and beyond. For a full overview of our benefits package please see below.
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 Benefits
 
 
 
 
 Who We Are
 
 
 
 
 Diversity &amp; Inclusion
 
 
 
 
 Governance
 
 
 
 
 
 
 
 
 We reserve the right to close this vacancy earlier than the advertised closing date if we receive enough suitable applications. We therefore encourage interested candidates to apply as soon as possible to avoid disappointment.
 
 
 
 
</div>

Data Engineering Lead

<div><div>About THG

We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.

Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition.

From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG.

With us, you'll go further, faster. What are you waiting for?</div>
Location: Icon 1, WA15 0AF

About Central Functions

Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded.

Why be the Data Engineering Lead at THG?

THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three core domains: Customer, Commercial and Operations.

This is a hands-on technical leadership role. You will be managing and mentoring a team of six engineers (three Senior, three mid-level, each domain-aligned), but you are also expected to be technically deep &mdash; setting architecture standards, making key design decisions, and being the person the team turns to when problems are hard.

Your primary mission is to move THG from a fragmented, siloed data landscape towards consistent, joined-up domain datasets that can be trusted and used at scale. We have customer data in multiple places, commercial data that isn't consistently structured, and operational data that isn't easy to consume. You will build the engineering foundation that changes that &mdash; working to a shared architecture that ensures Customer, Commercial and Operations datasets have consistent standards, shared attributes where appropriate, and can ultimately be joined into a single, reliable view of the business.

You will work closely with Ingenuity, our technology partner, who manage the foundational platform and first-layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high-quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define within your engineering practice.

What you'll do:

Technical Leadership &amp; Architecture
<ul>
<li>Own the data engineering architecture for THG &mdash; defining how data is ingested, transformed, stored and made available across Customer, Commercial and Operations domains</li>
<li>Design consistent standards and patterns across all three domains &mdash; ensuring shared attributes are handled uniformly and that data can be reliably joined across domains</li>
<li>Lead the evolution of our BigQuery/GCP platform &mdash; driving migrations, modernising legacy pipelines, and building for scalability</li>
<li>Make key architectural decisions and be accountable for the technical quality of everything the engineering team produces</li>
<li>Develop and enforce engineering standards across the team &mdash; version control, testing frameworks, error handling, documentation and code review practices</li>
</ul>
Domain Dataset Development
<ul>
<li>Lead the build-out of structured, reliable domain datasets &mdash; moving from disparate, siloed data sources towards consolidated Customer, Commercial and Operations data platforms</li>
<li>Work towards the foundations of a single source of truth &mdash; defining how data from different source systems is reconciled, deduplicated and mastered within each domain</li>
<li>Ensure domain datasets are structured for downstream consumption &mdash; analytics teams, data science models, BI tooling and AI/agent use cases should all be able to reliably consume what engineering produces</li>
</ul>
AI-Enabled Engineering
<ul>
<li>Champion the use of AI in data engineering &mdash; this is a small team with a large remit, and we expect AI-assisted development to be embedded in how we work</li>
<li>Apply AI tools to accelerate pipeline development, automated testing, anomaly detection and data quality monitoring</li>
<li>Stay current with AI developments in the data engineering space and bring new approaches into the team's practice</li>
</ul>
Ingenuity Relationship
<ul>
<li>Work closely with the Ingenuity engineering team &mdash; understanding what they provide at the platform layer and building effectively on top of it</li>
<li>Define clear requirements and interface standards for how Ingenuity data feeds into PLC domain datasets</li>
<li>Identify and escalate where Ingen platform behaviour affects data quality or availability within PLC domains</li>
</ul>
People &amp; Team
<ul>
<li>Manage, coach and develop a team of six domain-aligned engineers &mdash; three Senior Data Engineers and three Data Engineers</li>
<li>Run a structured review and development process for each engineer, building their technical capability and career progression</li>
<li>Foster a culture of engineering excellence, collaboration and continuous improvement</li>
</ul>
What skills and experience do I need for this role?

Essential
<ul>
<li>Hands-on, expert-level experience with BigQuery and GCP &mdash; this is non-negotiable; you must have built and operated production data pipelines on this stack</li>
<li>Strong Python skills &mdash; used daily for pipeline development, data transformation and automation</li>
<li>Experience across at least two of the three core data domains: Customer, Commercial and Operations</li>
<li>A track record of evolving data architecture &mdash; you can demonstrate concrete examples of how you changed the way a business structures, stores or consumes its data</li>
<li>Deep understanding of data modelling, pipeline design and distributed data architecture</li>
<li>Experience with Dataform or dbt for data transformation</li>
<li>Demonstrated use of AI in data engineering &mdash; AI-assisted pipeline development, automated quality checks, or similar practical applications</li>
<li>Experience mentoring and developing engineers</li>
</ul>
Desirable
<ul>
<li>Experience building towards a Customer Data Platform (CDP) or equivalent customer data consolidation project</li>
<li>Familiarity with data governance principles and working alongside a governance function</li>
<li>E-commerce or retail background</li>
<li>Experience with streaming or real-time data pipelines</li>
</ul>
What's in it for me?

Career Development
<ul>
<li>Access bespoke development programmes that have been designed and developed by our in-house L&amp;D team.</li>
<li>Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider.</li>
</ul>
Enhanced Leave
<ul>
<li>25 days annual leave plus bank holidays.</li>
<li>Don't want to work on your birthday? We don't either! Enjoy your day off on us!</li>
<li>Enhanced maternity and paternity pay, depending on length of service.</li>
<li>Up to 10 days compassionate leave.</li>
<li>Buy back up to 3 days each year.</li>
<li>Unlock 2 days volunteer leave after 12-months.</li>
</ul>
Wellbeing Support
<ul>
<li>Access face-to-face and virtual appointments with our in-house GP.</li>
<li>Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa.</li>
<li>State-of-the-art on-site gym.</li>
<li>Access to our on-site physio.</li>
</ul>
Other Perks
<ul>
<li>Save up to 12% on the cost of personal tech through our salary sacrifice scheme.</li>
<li>Subsidised bus pass from Manchester City Centre to our ICON office.</li>
<li>Up to 50% staff discount on THG brands.</li>
<li>On-site staff shop.</li>
<li>Know someone who would be perfect for THG? Refer them and get up to &pound;1000 when they pass their probation.</li>
<li>Anniversary gifts when you hit 5 and 10 years of service.</li>
</ul><div>
THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.

THG is committed to creating a diverse &amp; inclusive environment and hence welcomes applications from all sections of the community.

Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further.</div></div>

Tiofarma

<div><h2 class="jobSectionHeader">Data Engineering Lead</h2>
Als Data Engineering Lead geef je richting aan het data landschap en zorg je dat het dataplatform betrouwbaar, schaalbaar en toekomstbestendig is. Je stelt kaders en standaarden op voor data-architectuur, integraties en datakwaliteit, en werkt zelf actief mee aan het realiseren en verbeteren van data-oplossingen.
Je combineert overzicht met inhoud: van data modellering en pipelines tot governance en performance. Daarbij stem je continu af met business en IT om datavraagstukken te vertalen naar concrete, werkende oplossingen.
In deze rol zorg je dat data niet alleen technisch goed staat, maar ook daadwerkelijk wordt benut als fundament voor besluitvorming en procesverbetering.<h2 class="jobSectionHeader">
Hoe maak jij impact binnen Tiofarma?</h2>
Je brengt structuur en richting in het data landschap en zorgt dat data betrouwbaar, beschikbaar en direct bruikbaar is om inzicht te krijgen en gebruikt kan worden voor besluitvorming. Je vertaalt strategische datavraagstukken naar concrete oplossingen en realiseert deze samen met het team, waarbij je zelf actief meewerkt aan architectuur, pipelines en integraties. Daarbij bewaak je de samenhang tussen systemen, data en processen en zorg je dat standaarden en governance goed zijn ingericht.
Je werkt op het snijvlak van business en IT en zorgt dat databehoeften helder worden vertaald naar schaalbare oplossingen. Door jouw bijdrage wordt data een stevig fundament onder procesoptimalisatie en verdere digitalisering van de organisatie.
Je rapporteert aan de Head of IT en werkt binnen de divisie Data Engineering, waar je een centrale rol vervult in de doorontwikkeling van het datadomein. Je werkt nauw samen met collega&rsquo;s uit IT en de business en stuurt een (klein) team van data engineers aan, waarbij je inhoudelijk het verschil maakt.
In de praktijk betekent dit dat je:<ul><li>
Richting geeft aan data-architectuur, standaarden en werkwijze</li><li>
Zelf meewerkt aan complexe data-oplossingen en integraties</li><li>
Datakwaliteit en betrouwbaarheid structureel verbetert</li><li>
Businessbehoeften vertaalt naar concrete data-oplossingen</li><li>
De samenwerking tussen IT en business versterkt en vereenvoudigt</li></ul><h2 class="jobSectionHeader">
Over Tiofarma en de afdeling</h2>
Bij Tiofarma staan we voor Samen Resultaatgericht Ontwikkelen. Dit zie je terug in de manier waarop wij onze organisatie vormgeven, met elkaar omgaan en de taal die wij met elkaar spreken. 
We houden van korte lijnen en samen successen vieren. Bij ons vind je een open werksfeer en ruimte voor idee&euml;n.
Bij Tiofarma maken we veilige en effectieve geneesmiddelen die het verschil maken voor pati&euml;nten wereldwijd. Al meer dan 30 jaar ontwikkelen en produceren we medicijnen vanuit Oud-Beijerland. We zijn een groeiende, nuchtere familieonderneming met 450 collega&rsquo;s, waarin samenwerking, resultaatgerichtheid en ontwikkeling centraal staan.
Deze functie valt bij ons onder de Staff afdeling. Bij de Staff afdeling draag je direct bij aan een soepel draaiende organisatie. We werken zelfstandig en doelgericht, met veel ruimte voor initiatief en ontwikkeling. De sfeer is open en betrokken, met aandacht voor samenwerking, balans en persoonlijke groei. Samen maken we impact, in de kern van de organisatie.
Als Data Engineering Lead maak je deel uit van de dynamische IT-afdeling (~15 personen) welke bestaat uit verschillende divisies, waaronder IT Operations, Application Management, Digital Integration (IT-OT) en Data Engineering.
Je rapporteert rechtstreeks aan de Head of IT en werkt nauw samen met collega's en externe experts. De sfeer in het team is positief en er is ruimte voor persoonlijke ontwikkeling en sociale activiteiten.<h2 class="jobSectionHeader">
Hier herken jij jezelf in</h2>
Wat je meebrengt<ul><li>
HBO/WO werk- en denkniveau, bij voorkeur in een data- of IT-gerelateerd vakgebied</li><li>
Aantoonbare ervaring mee in data engineering, dataplatformen en integraties binnen een complexe omgeving.
</li><li>Kennis van en ervaring met moderne tooling (zoals SQL en cloud platformen)</li><li>
Uitstekende communicatie skills in zowel de Nederlandse als Engelse taal, mondeling &eacute;n schriftelijk.</li></ul>
Wie jij bent<ul><li>
Je krijgt energie van structuur aanbrengen in complexe data, bent scherp, kritisch en werkt nauwkeurig.
</li><li>Je pakt je verantwoordelijkheid, neem je initiatief en wacht je niet af.
</li><li>Je werkt zelfstandig waar het kan, maar zoekt actief de samenwerking op om samen tot betere oplossingen te komen.
</li><li>Je schakelt moeiteloos tussen detail en overzicht en vindt het leuk om inhoudelijk het verschil te maken in een omgeving waar data er &eacute;cht toe doet.</li></ul><h2 class="jobSectionHeader">
Wat je van ons kunt verwachten</h2>
Naast een plek binnen een enthousiast en ambitieus team (waar ook gelachen mag worden), krijg je bij Tiofarma ook ruimte om te groeien in je vak en vaardigheden. We bieden een goed salaris, flexibele werktijden, ruime verlofdagen, thuiswerkmogelijkheden (indien passend) en een actieve focus op ontwikkeling. Je werkt in een betrokken team met een open sfeer en korte lijnen.<ul><li>
Een bruto maandsalaris tussen &euro; 5.266,43 en de &euro; 8.499,94 op basis van een fulltime dienstverband. Het exacte salaris stemmen we af op de kennis en werkervaring die jij meebrengt.</li><li>
25 vakantiedagen en 13 ATV-dagen op fulltime basis.</li><li>
Een aantrekkelijk pakket secundaire arbeidsvoorwaarden, waaronder:<ul><li>
Premievrij pensioen</li><li>
Goede reiskostenvergoeding</li><li>
Een lease fietsplan. Voordelig een fiets rijden, zowel zakelijk als priv&eacute;</li><li>
Gezellige gezamenlijke activiteiten, waaronder yoga, bootcamp en af en toe een borrel</li><li>
Ruime mogelijkheid voor persoonlijke en vakinhoudelijke ontwikkeling</li></ul></li></ul><h2 class="jobSectionHeader">
Enthousiast geworden?</h2>
Herken jij je in dit profiel? Dan kijken we uit naar jouw sollicitatie!
Voor inhoudelijke vragen over de functie kun je contact opnemen met Daniel Geense, via +31 186 286 873. 
Heb je vragen over de sollicitatieprocedure? Neem dan contact op met Anette Wennink via awennink@tiofarma.nl. 
Let op: de vacature sluit zodra we de geschikte kandidaat hebben gevonden. Wacht dus niet te lang met solliciteren.
Tiofarma aanvaardt geen ongevraagde hulp van intermediairs/uitzendbureaus of andere derden voor deze vacature. Toegestuurde cv&rsquo;s (in welke vorm dan ook) door genoemde partijen aan enige medewerker van Tiofarma zonder geldige zoekopdracht van Recruitment, worden beschouwd als publieke informatie. Er zal aan genoemde partijen geen vergoeding zijn verschuldigd in geval een kandidaat wordt aangenomen van wie ongevraagd het cv en/of andere gegevens zijn toegestuurd. Dit is ook van toepassing als bij de cv&rsquo;s andere documenten als inkoop- en/of leveringsvoorwaarden zijn toegevoegd.</div>

LSEG (London Stock Exchange Group)

<div>Manager, Data Engineering Lead
SwapClear and Listed Rates, LCH Ltd, London
<div><h1 class="jobSectionHeader">LCH, SwapClear and Listed Rates</h1></div>
LCH Ltd is an international multi-asset class central counterparty clearing house (CCP), part of the London Stock Exchange Group. LCH Ltd serves a broad range of exchanges and over-the-counter trading platforms providing critical risk management services. It has a unique membership model and its customers span the globe and include major financial groups (including the majority of the major investment banks), broker-dealers and specialist commodity houses and a wide range of buy-side and real-money firms including major asset managers and large hedge funds.
This role provides an opportunity to work on one of the most critical finance technology functions in the world. The LCH CCP is systematically significant to the world&rsquo;s financial markets which requires technology that has to be very resilient and with strong controls. LSE Group also provides a chance to work with other technology teams across the Exchange, and the rest of the Post Trade Businesses
LCH SwapClear &amp; Listed Rates is the major clearing business for LCH and LSEG, one of the company flagships and the global leader in IRS Clearing. SwapClear is the largest global Rates platform in the world with the highest standards of resilience. The Platform clears ~9m new trades per annum and supports various daily post-trade processing features, such as margin optimisations. 90% of the cleared interest rate swaps globally pass through the platform, and we regularly clear in excess of $3.5 trillion notional per day with over 60 member bank groups and over 1000 clients serviced.<div><h1 class="jobSectionHeader">
Role Profile</h1></div>
The Reporting &amp; Data Analytics platform underpins regulatory reporting, risk visibility, member reporting and internal analytics across SwapClear and Listed Rates. Given the scale, criticality and regulatory scrutiny of this data, the platform is subject to exacting availability, accuracy, lineage and governance requirements.
LCH has embarked on a strategic transformation of its Reporting &amp; Data Analytics architecture, moving from legacy on-premise Oracle / Informatica stacks to a cloud native, Snowflake based data platform. This solution will enable robust, performant reporting, self-service analytics, and new data distribution patterns for our members and clients.
Joining as a Senior Engineer, you will be accountable for setting the platform&rsquo;s technical direction, delivering Reporting &amp; Data Analytics features, and ensuring the ongoing stability of the platform during and beyond the transformation.
You will be a technology leader with deep hands-on data engineering experience, strong technical judgement, and the seniority to engage confidently with Group Architecture, Group Data Governance, and senior business partners.
You will lead a team of engineers to deliver the reporting and data analytics transformation, with responsibility for technical standards and professional development. You will ensure the team designs and builds solutions in line with our Engineering Principles, taking a data-driven approach, innovating with purpose, and acting as an owner.
You will ensure the platform evolves beyond migration into a scalable, governed platform that supports our members and clients, and internal partners. 
<div><h1 class="jobSectionHeader">Key Responsibilities</h1></div><ul><li>
Technology owner of the end-to-end data solutions for reporting and data analytics across SwapClear and Listed Rates.</li><li>
Lead the safe migration from legacy Oracle / Informatica platform to the target cloud architecture. Take accountability for successful legacy decommissioning, not just building the new platform.</li><li>
Lead the design, implementation and multi-year phased delivery for SwapClear and Listed Rates.</li><li>
Define and drive evolution of the Strategic Cloud data platform, ensure it is fit for purpose for SwapClear and Listed Rates use cases.</li><li>
Ensure the E2E platform meets availability, performance, resilience and security expected of a &quot;systemically important&quot; clearing house.</li><li>
Assists Product Owners and Delivery Leads with delivery planning of business goals/outcomes.</li><li>
Act as a senior technical partner to Group Architecture Authority, Group Data Governance and Product and business partners.</li><li>
Partner with Quality engineering to ensure that all aspects of the software development lifecycle is delivered to high levels of quality and using modern testing standards, automation and cloud-native practices.</li><li>
Build and maintain strong relationships with internal and external partners, using influence and trust to drive alignment, resolve challenges, and promote shared quality goals. 
</li></ul><div><h1 class="jobSectionHeader">
Required Experience, Skills and Traits</h1></div><ul><li>
15+ years of hands-on software engineering experience, including at least 5+ years as a technical lead, with consistent track record of delivering high-quality solutions</li><li>
Shown leadership of enterprise scale Snowflake (or similar) data platform implementations.</li><li>
ELT data architectures, using dbt or similar</li><li>
Cloud data lake and data warehouse solutions</li><li>
Solid experience of data-centric solution using SQL, PL/SQL and Python</li><li>
Data warehouse modelling approaches</li><li>
Deep expertise in<ul><li>
Immutable, incremental and versioned data architectures</li><li>
Enterprise scale data modelling</li><li>
Data governance, lineage and control frameworks</li></ul></li><li>
Strong engineering background with the ability to engage deeply in design and implementation.</li><li>
Prior experience working with Informatica PowerCenter or similar solutions.</li><li>
Quality-first approach</li><li>
Seniority and credibility to influence group level architecture and governance bodies.</li><li>
Passionate about metrics driven approach and leading with data.</li><li>
Practical and relevant AI experience in data engineering / migrations use cases</li><li>
Detail oriented problem solver, comfortable &ldquo;diving-deep&rdquo;</li></ul>
Desired Experience, Skills and Traits<ul><li>
Experience operating in regulated, high availability environments.</li><li>
Degree in Computer Science, Software Engineering or equivalent.</li><li>
Knowledge and practical experience running technology both on prem and in cloud.</li><li>
Experience of large-scale real-time and batch process orchestration, optionally with third-party orchestration engines</li><li>
Good understanding of cyber security standards and practices and follows secure-by-design principle.</li><li>
Experience of working with agile frameworks like Scrum, Kanban.</li><li>
Background working in financial industry</li><li>
Experience of modern observability platforms e.g. DataDog</li></ul><div><h1 class="jobSectionHeader">
About the London Stock Exchange Group</h1></div>
LSEG&rsquo;s vision is to be the most trusted expert in global financial markets. This is achieved through leading the world in providing access to capital, helping customers optimise capital resources and promoting trusted and transparent environments and services for investment.
LSEG is a diversified international exchange Group that sits at the heart of the world's financial community. The Group operates through four key business divisions: Capital Markets (broad range of international equity, bond and derivatives markets); Post Trade (post trade and risk management services); Global Technology Services (high performance trading platforms and capital markets software); and Information Services (real-time and reference data products).
LSEG prides itself on operating a neutral, trusted, well-regulated and systemically important market infrastructure and does this within a fast paced, real-time and highly regulated environment. The Group is accountable to its shareholders, clients, regulators and the societies in which it operates and the Group Values and Behaviours underpin how the Group meets those accountabilities.
Career Stage:
Manager
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.</div>

Schiphol

<div><h2 class="jobSectionHeader">Nice to know (you)</h2><div>
<ul>
<li>Schiphol staat bekend als &eacute;&eacute;n van de meeste innovatieve luchthavens ter wereld te zijn. Onze interne innovatiekracht en investeringen in productontwikkeling helpen ons om de luchthaven continu te blijven verbeteren voor passagiers, werknemers en partners. Dit heeft geleid tot een breed scala aan innovatieve (veelal digitale) oplossingen die toonaangevend zijn binnen de wereldwijde airport industrie.
</li>
</ul></div><div><ul><li>Het Data &amp; Insights team ondersteunt het volledige Business Platform Commercial &amp; Group Technology domein bij het realiseren van hun data ambities en het versterken van datagedreven besluitvorming.
</li>
</ul></div><div><ul><li>We gaan ervoor: Schiphol moet tot de top 3 van de Europese luchthavens gaan behoren.
</li>
</ul></div><h2 class="jobSectionHeader">Connecting your world</h2><div>

Als Data Engineering Lead die ons team komt versterken, combineer je een hands on data engineering rol met de verantwoordelijkheid voor de ontwikkeling en kwaliteit van het team. Je hebt een passie voor data en het bouwen van betrouwbare, schaalbare dataproducten die cruciale inzichten verschaffen aan onze eindgebruikers. Je werkt nauw samen binnen je multidisciplinaire team en speelt een sleutelrol in het vertalen van businessbehoeften naar duurzame dataoplossingen. Tegelijkertijd coach en begeleid je data engineers in hun ontwikkeling en zorg je voor een sterke basis in werkwijzen, standaarden en samenwerking. Je weet korte en langetermijnoplossingen goed tegen elkaar af te wegen, stelt de juiste prioriteiten en maakt technische keuzes inzichtelijk voor niet technische stakeholders. Je bent kritisch op kwaliteit, denkt vooruit en neemt eigenaarschap over zowel je eigen werk als dat van het team. Hoe jij dit precies realiseert? Dat is aan jou. Jij zet jouw talenten in bij het:
</div>
<div><ul><li>hi&euml;rarchisch aansturen, coachen en ontwikkelen van circa 5 data engineers in het team, inclusief verantwoordelijkheid voor hun performance, groei en inzetbaarheid. Afstemmen van standaarden en best practices met het Center of Excellence binnen Schiphol en het maken van de vertaalslag naar het team.
</li>
</ul></div><div><ul><li>nemen van eigenaarschap op de data engineering standaarden en best practices, onder andere via code reviews, kennisdeling en het continu verbeteren van onze ontwikkelprocessen.
</li>
<li>samenwerken met product owners, analysten, frontend developers en stakeholders om business requirements te vertalen naar concrete en toekomstbestendige dataproducten.</li></ul> 
</div>
<div></div><div><ul><li>ontwerpen, bouwen en onderhouden van schaalbare en goed gestructureerde datamodellen en datawarehouse componenten, met oog voor performance, betrouwbaarheid en onderhoudbaarheid.
</li>
</ul></div><div><ul><li>ontwikkelen van data pipelines en actief bijdragen aan het verbeteren en toekomstbestendig maken van bestaande data pipelines en datamodellen en ontsluiten en modelleren van data tot hoogwaardige datasets en datamarts die direct bruikbaar zijn voor BI, dashboards en self-service analytics.</li></ul> 
</div>
<div></div><div><ul><li>signaleren van technische risico&rsquo;s en kansen binnen het data landschap en kan deze zelfstandig oppakken, van idee tot implementatie.
</li>
</ul></div><h2 class="jobSectionHeader">You've got this</h2><div><div>
Schiphol verbindt jouw wereld. Met de beste mensen maken we reizen veilig, effici&euml;nt en verantwoord. Jij draagt hieraan bij met jouw data engineering expertise en de manier waarop jij meedenkt, verantwoordelijkheid neemt en samen met anderen datagedreven oplossingen realiseert die ertoe doen. Voor deze functie heb je in ieder geval:</div></div><div><div><ul><li>
ervaring met hi&euml;rarchisch leidinggeven aan data engineers, inclusief verantwoordelijkheid voor performance management, ontwikkelgesprekken en de inzetbaarheid van teamleden.</li></ul></div><div><ul><li>
minimaal 5 jaar ervaring als Data Engineer binnen het DWH domein.
</li></ul></div><div><ul><li>minimaal 5 jaar aantoonbare ervaring met dimensioneel modelleren en datamodellering.
</li></ul></div><div><ul><li>minimaal 4 jaar aantoonbare ervaring binnen Microsoft Azure.</li></ul></div><div><ul><li>
aantoonbare ervaring met SQL en ETL/ELT-processen.</li></ul></div><div><ul><li>
aantoonbare ervaring met Azure Data Factory en/of Azure Synapse.</li></ul></div><div><ul><li>
aantoonbare ervaring met Databricks.</li></ul></div><div><ul><li>
ervaring met versiebeheer (Git / Azure DevOps).</li></ul></div><div><ul><li>
ervaring met Agile werken.</li></ul> 
Je combineert deze leidinggevende rol met een hands on rol als data engineer en bent eindverantwoordelijk voor de technische kwaliteit en ontwikkeling van het team. 
Bij de sollicitatie hoort een SQL-assessment en referentiecheck. 
Een pre:<div><ul><li>
Azure certificering.</li><li>
ervaring met dbt</li><li>
ervaring met het ontwikkelen van datamarts voor BI/front-end en self-service analytics</li></ul></div></div><div></div><div> 
</div></div><div><div>Goed is goed genoeg</div><div><ul><li>
Je weet wanneer iets goed genoeg is om door te pakken. Je bewaakt de balans tussen kwaliteit en voortgang, maakt onderbouwde keuzes en voorkomt dat perfectie de snelheid of impact vertraagt. Je stimuleert je team om pragmatisch te werken, te leren in het proces en samen continu beter te worden.</li></ul></div><div><ul><li>
Je werkt met volledig end‑to‑end ownership: je pakt vraagstukken van begin tot eind op, houdt overzicht over het hele proces en zorgt dat resultaten daadwerkelijk landen in de organisatie. Je bewaakt de samenhang tussen strategie, uitvoering en impact en neemt verantwoordelijkheid totdat het &eacute;cht werkt voor de business.</li></ul></div><div><ul><li>
Je durft de business en teams actief te challengen, stelt kritische vragen en prikkelt om anders te denken. Je brengt een duidelijke visie mee, combineert ambitie met executiekracht en weet verandering niet alleen te initi&euml;ren, maar ook daadwerkelijk te realiseren. Je stimuleert beweging, doorbreekt patronen en zorgt dat verbeteringen echt landen in de organisatie.</li></ul></div></div>
<h2 class="jobSectionHeader">
You get this</h2><ul><li>&euro; 5703 tot &euro; 7912 bruto per maand (schaal 13).</li><li>Een NS-Business Card die reizen met openbaar vervoer van en naar het werk helemaal vergoedt.</li><li>180 vakantieuren.</li></ul>
 
Dit zijn nog maar een aantal van onze arbeidsvoorwaarden die horen bij deze functie (op basis van een 36-urige werkweek). Schiphol heeft jou nog meer te bieden. Ga voor het totale overzicht van alle arbeidsvoorwaarden naar Arbeidsvoorwaarden - Werken bij Schiphol.
<h2 class="jobSectionHeader">
About the Team</h2>
About Schiphol Commercial

De passagiers- en klantervaring op onze luchthaven nog beter maken en tegelijkertijd onze commerci&euml;le doelstellingen behalen. Daar staan wij voor als business area van Schiphol Commercial. We zijn als afdeling verantwoordelijk voor de waarde creatie voor zowel klanten (passagiers en bedrijven) als voor Schiphol zelf, door het ontwikkelen van unieke en dynamische ontmoetingsplekken voor werk en reizen.
<h2 class="jobSectionHeader">
Choose your destination</h2><div>

Wat zijn jouw talenten? Welke dromen heb jij? Wat is jouw verhaal? We zijn benieuwd naar jou en nodigen je graag uit om te solliciteren. Solliciteren kan door jouw motivatie en cv met ons te delen via de sollicitatiebutton hieronder.
</div><div><ul><li>Heb je vragen over de inhoud van de functie? Schakel met Robbie van Dam, via rob.van.dam@schiphol.nl.
</li>
</ul></div><div><ul><li>Heb je vragen over het sollicitatieproces? Stel deze aan Yvette Mulder, Recruitment Business Partner, via yvette.mulder-van.zon@schiphol.nl of via 06-48438257.
</li>
</ul></div><div><ul><li>Een assessment kan deel uitmaken van het proces.
</li>
</ul></div><h2 class="jobSectionHeader">About Schiphol Group</h2>
Met 4.200 trotse collega&rsquo;s zetten we een extra stap om Nederland zo goed mogelijk te verbinden met de rest van de wereld. Vernieuwen, veiligheid en samenwerken staan daarbij voorop. Samen geven we meer betekenis aan reizen en leveren een bijdrage aan economie en maatschappij. Al meer dan 100 jaar. In Nederland en daarbuiten. Wist je trouwens dat:

&hellip; Schiphol Group eigenaar en exploitant is van Amsterdam Airport Schiphol, Rotterdam The Hague Airport en Lelystad Airport? We hebben ook een meerderheidsbelang in Eindhoven Airport. 
&hellip; er in 2023 circa 442.000 vliegbewegingen van en naar Schiphol Airport waren?</div>

BlackRock

<div><div><div><div>Locations: London, United Kingdom; Edinburgh, United Kingdom
Additional Locations: ED3 - 20 Brandon Street, Edinburgh</div></div></div></div>
 <div><h2 class="jobSectionHeader">Job description</h2>
<div>About this role
The VP AI Data Engineering Lead operates at the intersection of strategic influence, team leadership, and delivery excellence &mdash; playing a defining role in how AI-powered data and knowledge products are conceived, designed, and executed across the organization.
He/She/They lead a multi-team organization of AI agent engineers and data scientists &mdash; setting technical and delivery direction, building the team&rsquo;s capability, and holding accountability for the production systems powering the commercialized knowledge products.
He/She/They function as the most senior bridge between Product Management leadership, business functional stakeholders, and AI engineering &mdash; bringing the technical depth and strategic breadth to influence product vision while holding firm accountability for engineering delivery outcomes across multiple squads.
He/She/They sets the organizational standard for how product intent gets translated into technical reality, establishing engineering frameworks, authoring principles, and driving the culture of quality, accuracy, and ownership across the broader Product Lead community.
He/She/They are deeply experienced in the nuances of AI engineering, from agent workflow design and Vision AI evaluation to production validation, output-quality governance, and customer adoption of knowledge products. Beyond the delivery mandate, they are a builder of people and of technical leaders of tomorrow &mdash; developing high-performing teams and creating the conditions for others to do their best work.
This is a role for a leader who thinks in systems, acts with purpose, and measures their success not just by what ships, but by the commercial credibility and lasting organizational capability left behind.
Roles &amp; Responsibilities
<ul><li>Lead a team of AI agent engineers and data scientists &mdash; setting technical direction, managing delivery, driving performance, developing individual capability across the team, and building the talent bench across the function.
</li><li>Own end-to-end solution design &amp; delivery for complex AI features across multiple AI engineering squads building multi-agent, GenAI, and Vision AI workflows &mdash; ensuring consistency, quality, and strategic alignment at scale.
</li><li>Drive backlog prioritization at the product-area level, balancing customer value, technical feasibility, AI accuracy expectations, model/vision constraints, and team capacity
</li><li>Run sprint planning, team stand-ups, and retrospectives; create the operating rhythm and working environment for engineers and data scientists to do their best work
</li><li>Proactively engage and act as the bridge between the Product Management, business stakeholders and AI engineering &mdash; influencing product vision &amp; feature prioritization (definition, scope, and sequencing) from deep understanding of technical possibility and commercial reality influence feature.
</li><li>Partner with Product Managers to shape feature roadmaps, bringing technical and AI-specific insight that meaningfully influences what gets built, when, and at what quality bar.
</li><li>Drive structured refinement sessions with the team, ensuring stories are technically complete and aligned on solution approach before development begins.
</li><li>Define and enforce quality standards for user story delivery &mdash; including extraction accuracy, edge-case coverage, agent behaviour expectations, and non-functional requirements
</li><li>Lead post-implementation validation efforts &mdash; coordinating UAT, output-quality reviews, production monitoring, and closing the loop with stakeholders on commercial outcomes
</li><li>Support product activation and customer adoption &mdash; translating delivery milestones into customer-facing readiness for data/knowledge product rollout
</li><li>Define and champion organization-wide standards for user story authoring, solution design, backlog management, and delivery quality for AI-powered knowledge products
</li><li>Lead complex, cross-functional AI initiatives from discovery through delivery &mdash; managing dependencies, risks, and stakeholder expectations across teams.
</li><li>Coach and mentor team members, conduct performance conversations, and contribute to hiring decisions for the AI engineering and data science team.
</li><li>Establish frameworks for post-implementation validation, output-quality governance, production monitoring, and customer success during product activation and adoption at scale
</li><li>Identify systemic delivery bottlenecks and drive process improvements that raise velocity and quality across the product organization
</li><li>Build and mentor a high-performing team of AI agent engineers, and data scientists &mdash; driving hiring, onboarding, performance management, and career development at scale
</li><li>Shape organizational design, team structure, and operating model for the AI data engineering function as the business scales
</li></ul>Required Skills &amp; Experience
Technical Skills
<ul><li>Minimum 6-8 years of experience in AI Engineering Delivery Lead, or AI Program Lead, or Engineering Manager roles, with at-least 2-3 years operating as AI Engineering Principal within a SaaS, AI, or data-product organization.
</li><li>Deep expertise and Proven experience in AI solution design and technical scoping for AI-driven features &mdash; ideally including GenAI, LLM-based capabilities, Vision AI, and multi-agent workflows.
</li><li>Strong command of scaled Agile delivery, cross-team dependency management, and delivery governance frameworks, backlog management, sprint planning, and Agile delivery tooling at scale (Jira, Confluence, Miro, or equivalent)
</li><li>Ability to engage meaningfully with AI engineers and data scientists on architecture decisions, agent orchestration, prompt design, Vision AI trade-offs, and model behaviour
</li><li>Fluency in the AI product development lifecycle &mdash; extraction accuracy, model evaluation, prompt engineering considerations, non-deterministic behaviour, and production monitoring
</li><li>Solid understanding of evaluation approaches for AI outputs &mdash; accuracy metrics, ground-truth validation, human-in-the-loop review, and output-quality benchmarking
</li><li>Familiarity with unstructured data extraction challenges across document, image, and multimodal inputs.
</li><li>Advanced grasp of product analytics, AI output-quality measurement, and outcome-based evaluation frameworks for data/knowledge products
</li><li>Deep understanding of responsible AI principles (accuracy governance, data provenance, and user trust as they relate to commercialized AI outputs) and their practical implications for feature design, accuracy governance, customer trust, and regulatory considerations
</li></ul>Non-Technical &amp; Interpersonal Skills
<ul><li>Executive-level communication skills &mdash; able to operate fluidly between engineering stand-ups and boardroom strategy conversations.
</li><li>Excellent communication and stakeholder management skills &mdash; able to drive alignment across product, commercial, engineering, and domain-expert audiences
</li><li>Strong strategic thinking &mdash; able to connect present engineering decisions &amp; strategy to long-term commercial positioning of AI knowledge/data products.
</li><li>Strong analytical and structured problem-solving approach &mdash; breaks down complex extraction and knowledge-structuring problems into clear, actionable paths forward
</li><li>Emotional intelligence and people-first leadership style &mdash; able to inspire, coach, and hold a diverse team of engineers and scientists to a high bar; earns trust quickly across diverse stakeholder groups including customers, commercial, and technical teams.
</li><li>Business acumen &mdash; understands the fundamentals of financials services industry and/or software/data product business, and how product output quality &amp; timeliness directly affects customer trust and revenue.
</li></ul>Leadership &amp; Ownership
<ul><li>Proven track record of building, leading, and developing teams of engineers, data scientists, or technical specialists in an AI or data product context at scale.
</li><li>Demonstrable experience influencing product vision and feature strategy at the leadership level &mdash; shaping what gets built, not just how.
</li><li>Experience establishing organization-wide standards, frameworks, and practices that persist beyond individual initiatives.
</li><li>Proven ability to set technical direction, manage delivery, and drive accountability across a cross-functional team.
</li><li>Track record of mentoring individuals, running performance conversations, and contributing to hiring and team-building.
</li><li>Courage to push back on feature scope or timelines when extraction accuracy, reliability, or commercial viability &mdash; or team sustainability &mdash; are at risk
</li><li>Proven track record of owning complex AI delivery outcomes end-to-end, including post-launch validation and adoption.
</li><li>Hands-on experience with hiring, team design, performance management, and succession planning for technical AI teams.
</li><li>Ability to hold the bar on quality and delivery while advocating for the team &mdash; protecting focus, escalating constraints, and making hard prioritization calls
</li><li>A builder-of-builders mindset &mdash; measures success by the capability and culture left behind, not just the features shipped.
</li></ul>What This Role Offers
<ul><li>Direct leadership of a high performing team of AI agent engineers and data scientists working on commercially impactful AI systems &amp; knowledge product portfolio &mdash; with meaningful autonomy and ownership.
</li><li>Direct influence over organizational direction &mdash; working closely with executive leadership on product vision, hiring, and operating model decisions.
</li><li>A meaningful seat at the table in shaping product &amp; engineering strategy, feature prioritization, and delivery practices for commercialized AI capabilities
</li><li>A platform to build and lead a world-class organization of AI engineers, data scientists, and Product Leads &mdash; creating lasting capability in commercialized AI.
</li><li>Direct exposure to emerging AI capabilities &mdash; multi-agent orchestration, GenAI, Vision AI &mdash; applied to real commercial problems at scale.
</li></ul><ul><li>A clear path toward head-of-Engineering function leadership roles, with investment in mentorship, external learning, and executive development.
</li></ul>Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. 
 
Guidance on AI use for candidates 
 
At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided guidance( opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. 
 
 
About BlackRock 
 
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. 
 
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. 
 
To learn more about BlackRock, please visit Careers.BlackRock.com( opens in new window). We also encourage you to get to know us on LinkedIn( opens in new window), Instagram( opens in new window), YouTube( opens in new window), X( opens in new window), and TikTok( opens in new window). 
 
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
</div><div>Job Requisition #
 
R264955</div></div>

AI Data Engineering Lead, Vice President

Everience Benelux

<div>Company Description 
Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.
With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.
Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.
In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a &ldquo;symbiotic age&rdquo;, where AI enhances talents and opens up new career opportunities. 
Job Description 
Mandatory Skills &amp; Experience
We are looking for a MarTech Data Engineering Lead to drive the development and evolution of a modern Marketing Technology platform for a leading organisation within the banking sector. Data is at the core of enabling personalised customer experiences and marketing capabilities. As the Engineering Lead, you will define the data engineering and integration strategy, working closely with business stakeholders, data analysts, data scientists, and enterprise architects to translate business requirements into scalable technical solutions.
Customer Data Platforms (CDP)<ul><li>
5+ years of experience working with Customer Data Platforms (CDPs).</li><li>
Proven expertise in customer identity management, profile unification, and audience segmentation strategies.</li><li>
Strong understanding of customer data activation and omnichannel marketing ecosystems.</li><li>
Experience working with flexible or open-schema CDP solutions is highly desirable.</li></ul>
Data Architecture &amp; Engineering<ul><li>
Strong background in Data Engineering and data integration.</li><li>
Experience designing and implementing scalable data integration architectures.</li><li>
Solid understanding of:<ul><li>
Data modelling</li><li>
Customer identity resolution</li><li>
Data governance</li><li>
Data quality frameworks</li><li>
Event-driven architectures</li><li>
API-based integrations</li></ul></li><li>
Experience working with cloud-based data platforms, preferably Google Cloud Platform (GCP).</li></ul>
Technical Leadership &amp; Integration<ul><li>
Proven experience leading engineering teams or technical delivery teams.</li><li>
Ability to translate complex business requirements into technical solutions for engineering teams.</li><li>
Comfortable working with business stakeholders, architects, and cross-functional teams.</li><li>
Experience integrating Customer Data Platforms with:<ul><li>
CRM platforms</li><li>
Marketing Automation platforms</li><li>
Analytics solutions</li><li>
Consent Management platforms</li><li>
Customer Engagement platforms</li></ul></li><li>
Experience collaborating with third-party vendors, reviewing technical designs, and challenging solution proposals where appropriate.</li></ul> 
Qualifications 
Soft Skills<ul><li>
Excellent communication and stakeholder management skills.</li><li>
Ability to explain complex technical concepts to both technical and non-technical audiences.</li><li>
Strong analytical thinking and problem-solving abilities.</li><li>
Demonstrated ownership, accountability, and a proactive approach to delivery.</li><li>
Experience working within Agile delivery environments.</li><li>
Ability to thrive in complex, international, and multidisciplinary teams, ideally within the financial services or banking sector.</li></ul> 

Additional Information<div></div> 
All our positions are open to both women and men and are, of course, open to people with disabilities.</div>

MarTech Data Engineering Lead (m/w/d)

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