data engineer

data scientist

machine learning engineer

ai engineer

senior data scientist

data engineering manager

Cognite - AI for Industry

<p></p><div><div><h1 class="jobSectionHeader"><b>What Cognite is:</b><b> </b><b>Relentless</b><b> </b><b>to achieve</b></h1>
<p></p>
<p>Cognite operates at the forefront of <b>industrial digitalization, building AI</b>, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.</p>
<p>
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.</p>
<p>
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.</p></div><p></p><div><br>
<h1 class="jobSectionHeader"><b>
About the role</b></h1>
<p>
Cognite's European Delivery organisation is growing in both scale and technical ambition. As Manager of Data Engineering, you will lead, develop, and retain a team of Data Engineers operating across some of the most complex industrial AI engagements in the market &mdash; ensuring they are technically strong, professionally developed, and set up to deliver at the standard our customers expect.</p>
<p>
This is not a pure people management role. You will carry a meaningful delivery commitment &mdash; approximately 50% billable capacity &mdash; working on customer projects alongside your team. Your credibility as a manager depends on being a practitioner: you need to understand the work at depth in order to coach it, assess it, and<br>
raise the bar on it.</p>
<p>
You will be part of the Value Delivery (VD) Europe profession leadership team and work closely with Portfolio Managers, and cross-functional leaders across Value Delivery.</p>
<h1 class="jobSectionHeader"><b>
How you'll demonstrate </b><b>Ownership</b></h1>
</div>
<div><p><b>People Development &amp; Performance</b></p>
<ul>
<li>Own the professional development of your Data Engineers spanning junior to seasoned Data Engineers, running structured 1:1s, calibrated performance reviews, and growth conversations grounded in the Data</li>
<li>Engineering framework.</li>
<li>Provide technically specific coaching &mdash; not generic management feedback. Your engineers should leave conversations with a clearer understanding of what good looks like and how to close the gap.</li>
<li>Identify and address skill gaps proactively, before they surface as delivery problems on customer engagements.</li>
<li>Build a team culture of ownership, technical rigour, and AI-first delivery &mdash; consistent with the behaviours defined in the EDF at every level</li>
</ul>
<p><b>Delivery Accountability</b></p>
<ul>
<li>Carry approximately 50% billable capacity on customer projects &mdash; this is a firm expectation, not a stretch target.</li>
<li>Review Statements of Work (SOWs) before your engineers are committed to them: assess scope fit, identify skill gaps, and flag delivery risks before they become customer problems.</li>
<li>Champion your team's interests in staffing decisions &mdash; actively match engineers to engagements where they can deliver and grow, not just where there is a vacancy to fill.</li>
<li>Act as an escalation point when delivery gets hard. Be the steady hand, not a passive observer.</li>
</ul>
<p><b>Profession &amp; Team Building</b></p>
<ul>
<li>Contribute to standardising delivery practices across Value Delivery Europe &mdash; drive consistency in how we design, build, and document data engineering solutions.</li>
<li>Organise and lead professional development sessions relevant to the team's growth areas and project landscape.</li>
<li>Collect, prioritise, and escalate product feedback from your engineers and customers to the relevant internal teams.</li>
<li>Lead or contribute to hiring for your team &mdash; define what good looks like for each level and bring that standard to interviews and onboarding.</li>
</ul>
<p><b>AI-First Leadership</b></p>
<ul>
<li>Model and reinforce AI-first delivery practices across your team &mdash; not as a policy, but as a standard of work.</li>
<li>Hold your engineers to the AI fluency expectations defined in the EDF at each level: daily use, responsible validation, knowledge sharing, and continuous upskilling.</li>
<li>Stay current on AI tooling relevant to industrial data engineering and bring that knowledge into your team's practice.</li>
</ul>
</div><div></div><div><div><h1 class="jobSectionHeader"><b>What we are looking for</b></h1>
<p><b>
Required</b></p>
<ul>
<li>Proven hands-on data engineering background &mdash; production-grade Python, SQL, REST APIs, and cloud-native pipeline development. You must be able to review your team's technical work and have credible technical conversations with customers.</li>
<li>At least one year of meaningful association with Cognite's platform and products, with direct delivery experience on customer engagements. External candidates will not be considered for this role.</li>
<li>Demonstrated ability to develop people &mdash; not just manage tasks. You have concrete examples of engineers you have helped grow, with specific feedback that changed how they work.</li>
<li>Customer-facing confidence: you can hold a technical conversation with a senior customer stakeholder, translate engineering decisions into business language, and manage expectations under pressure.</li>
<li>Strong operational judgement: you can read a SOW, spot a risk, and have a difficult conversation about scope before it becomes a delivery failure.</li>
</ul>
</div></div><div><p><b>Strong Advantage</b></p>
<ul>
<li>Formal or informal people management experience &mdash; direct reports, tech leads, or structured mentorship programmes.</li>
<li>Deep Cognite Data Fusion expertise: data modelling, SDK development, AI/LLM integration patterns, deployment packs.</li>
<li>Experience working in a Value Delivery or professional services environment where you were simultaneously accountable for delivery and team capability. Familiarity with Cognite's EDF and comfort using it as a coaching and calibration tool.</li>
<li>Track record of hiring &mdash; you know what good looks like at different levels and you can articulate it clearly.</li>
</ul><h2 class="jobSectionHeader"><b>How We Think About This Role</b></h2>
<p>
The best candidate for this role is an E3 Data Engineer &mdash; or equivalent &mdash; who is ready to multiply their impact through others, not just through their own technical output. Technical credibility is the foundation. A manager who cannot assess their engineers' work, engage meaningfully in SOW reviews, or hold a technical conversation with a customer will lose the team's respect quickly in this environment. People development is the job. The 50% delivery commitment is real &mdash; but the primary measure of success in this role is whether the Data Engineers on your team are growing, performing, and staying.</p>
<h2 class="jobSectionHeader"><b>
Why This Role</b></h2>
<ul><li>High visibility within Cognite's European Delivery organisation &mdash; direct line to VP Delivery Europe.</li>
<li>Meaningful influence over how Data Engineering is practised and developed across VD Europe.</li>
<li>Ownership of a team at a critical growth stage &mdash; the work you do here shapes the function for years.</li>
<li>Part of a profession leadership team that is actively building something, not maintaining the status quo.</li></ul></div><div></div><div><br>
<div></div>
<div></div><div><b>Learn more about us</b></div><br>
<div></div>
<div></div>
<div></div><div><ul><li>Impact 2025</li>
<li>Cognite's Industrial AI: Moonshot</li>
<li>We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.</li></ul><br>
</div>
<div></div><div><b><i>Equal Opportunity</i></b></div>
<div><i>Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.</i></div></div></div>

Data Engineering Leader

LSEG (London Stock Exchange Group)

<div><p><b>Manager, Data Engineering Lead</b></p><p><b>
SwapClear and Listed Rates, LCH Ltd, </b><b>London</b><b>
</b></p><p></p><div><h1 class="jobSectionHeader"><b>LCH, SwapClear and Listed Rates</b></h1></div><p>
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.</p><p></p><p>
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</p><p></p><p>
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.</p><p></p><div><h1 class="jobSectionHeader"><b>
Role Profile</b></h1></div><p>
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.</p><p>
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, <b>Snowflake </b>based data platform. This solution will enable <b>robust, performant</b> reporting, <b>self-service</b> analytics, and <b>new data distribution patterns</b> for our members and clients.</p><p>
Joining as a <b>Senior Engineer</b>, you will be accountable for setting the platform&rsquo;s<b> technical direction</b>, <b>delivering </b>Reporting &amp; Data Analytics features, and ensuring the <b>ongoing stability</b> of the platform during and beyond the transformation.</p><p>
You will be a technology leader with <b>deep hands-on data engineering experience</b>, strong technical judgement, and the seniority to engage confidently with <b>Group Architecture, Group Data Governance, and senior business partners</b>.</p><p>
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.</p><p>
You will ensure the platform evolves beyond migration into a <b>scalable, governed platform</b> that supports our members and clients, and internal partners.</p><p><br>
</p><p></p><div><h1 class="jobSectionHeader"><b>Key Responsibilities</b></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.<br>
</li></ul><div><h1 class="jobSectionHeader"><b>
Required Experience, Skills and Traits</b></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><p></p><p><b>
Desired Experience, Skills and Traits</b></p><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><p></p><div><h1 class="jobSectionHeader"><b>
About the London Stock Exchange Group</b></h1></div><p>
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.</p><p>
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).</p><p>
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.</p><p></p><p><b>
Career Stage:</b></p>
Manager<p></p><p><b>
London Stock Exchange Group (LSEG) Information:</b></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
Our purpose is the foundation on which our culture is built. Our values of <b>Integrity, Partnership</b>, <b>Excellence</b> and <b>Change</b> 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.</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.</p><p></p><p>
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.
</p><p></p><p>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.</p></div>

Data Engineering Lead

Deliveroo

<div><p>Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace.</p><p>
We're looking for a <b>Senior Analytics Engineering Manager</b> to join our London team. This is a hybrid role, with 3 days per week on-site. In this role, you'll help us scale our Analytics Engineering capability across multiple business domains, leading the teams that build the data products and metrics that power decisions across some of our most important business areas.</p><p></p><h1 class="jobSectionHeader"><b>
About the Analytics Engineering Org</b></h1><p>
Analytics Engineering is a core pillar of Deliveroo's Analytics organisation, alongside Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning.</p><p>
The discipline is evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across several important business domains, managing multiple AE Managers and their teams. As well as running these teams, you will help shape AE standards, culture and direction across the wider org.</p><h1 class="jobSectionHeader"><b><br>
What You'll Be Doing</b></h1><ul><li><p>
Lead multiple analytics engineering teams across several business domains, managing the AE Managers who run them and owning performance, development and wellbeing across the org.</p></li><li><p>
Own the mid-to-long-term AE roadmap across your domains, identifying the highest-leverage investments and building the case for them with senior business and product stakeholders</p></li><li><p>
Contribute to AE-wide decisions on tooling, architecture, standards and process, helping shape how Analytics Engineering works at Deliveroo beyond your immediate teams</p></li><li><p>
Drive a data products mindset across your estate: clear ownership, SLAs, observability and data contracts built into how your teams work by default</p></li><li><p>
Coach and develop the AE Managers in your org, supporting them through performance, motivation, and team health challenges, while fostering a culture of technical rigour and continuous improvement across your teams</p></li><li><p>
Partner with Recruiting to hire strong, diverse AE talent across your domains</p></li></ul><h1 class="jobSectionHeader"><b><br>
What You'll Need to Thrive</b><br>
</h1><h2 class="jobSectionHeader"><b>
Essential</b></h2><ul><li><p>
Significant experience in an Analytics Engineering, BI Engineering, or Data Engineering leadership role, with hands-on SQL foundations you still draw on</p></li><li><p>
Proven experience managing managers as well as ICs, with a track record of developing the people managers in your org</p></li><li><p>
Demonstrated ability to own a multi-quarter technical roadmap and manage teams across multiple business domains in a matrixed environment, with measurable business impact</p></li><li><p>
Strong technical grounding across the modern AE stack (cloud data warehousing, transformation tooling, data modelling, and data quality practices), with the ability to engage credibly on architecture decisions and step in hands-on when needed</p></li><li><p>
Confident engaging and influencing at Director/VP level, with experience aligning analytics investment to business priorities</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience in a marketplace, e-commerce, grocery or retail analytics context</p></li><li><p>
Familiarity with federated data architecture patterns, semantic and metrics layer tooling, or Python for data automation and pipeline work</p></li><li><p>
Exposure to or research of AI for Data, including semantic layers and pipeline development processes</p></li><li><p>
Experience contributing to analytics organisational design: team structure, R&amp;R boundaries and cross-functional alignment between AE, Data Science, and Data Engineering</p></li></ul><p><b><br>
Why Join Us?</b></p><p>
At Deliveroo, you&rsquo;ll do work that matters, solving real-world problems in a three-sided marketplace that&rsquo;s constantly evolving.</p><p>
We&rsquo;re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:</p><p><b><br>
Solve meaningful problems at real scale</b><br>
Work on a complex, always-on marketplace that impacts millions every day.<br>
<br>
<b>See your impact, fast</b><br>
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership<br>
environment.<br>
<br>
<b>Grow through challenge and ownership</b><br>
Take on big, ambiguous problems and accelerate your career with strong support.</p><p><b><br>
A culture built for builders</b><br>
High standards, collaboration, flexible working and continuous learning.</p><p></p><p>
 <b>Share in the success you help create</b></p><p>
Competitive salary and equity options, so you&rsquo;re rewarded for the impact you make.</p><p><b><br>
Our Global Structure</b></p><p>
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we&rsquo;re unlocking new possibilities as one global team.</p><p><b><br>
Diversity, Equity and Inclusion</b></p><p>
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We&rsquo;re committed to fostering an environment where everyone can do their best work and feel they belong.</p><p>
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.</p><p>
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you&rsquo;ll have the opportunity to let us know once you&rsquo;ve submitted your application. We&rsquo;ll share details on how to request support so we can ensure you have a fair and equitable experience.</p><p>
If you&rsquo;re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we&rsquo;d love to hear from you!</p></div>

Senior Analytics Engineering Manager

Data Idols

<div><h2 class="jobSectionHeader"><b>Head of Data Engineering</b></h2>
<h3 class="jobSectionHeader"><b>Salary:</b><b> &pound;100,000 &ndash; &pound;120,000 + Benefits</b></h3>
<h3 class="jobSectionHeader"><b>Location:</b><b> London &ndash; hybrid</b></h3>
<p>
We&rsquo;re partnering with a successful, data-driven digital business that&rsquo;s investing heavily in the future of its data platform. Having already embarked on a significant transformation programme, they&rsquo;re now looking for an experienced Head of Data Engineering to lead the next phase of their journey.</p>
<p>
This is a genuine opportunity to shape the way an organisation manages, governs and leverages its data. You&rsquo;ll have ownership of the data platform, influence technology strategy and establish the standards that underpin analytics, reporting and future AI initiatives.</p>
<h3 class="jobSectionHeader"><b>
The Opportunity</b></h3>
<p>
As the Head of Data Engineering, you&rsquo;ll provide technical leadership across the entire data engineering function, taking ownership of platform architecture, governance and engineering excellence.</p>
<p>
Working closely with senior stakeholders across Technology, Product, Finance and Commercial teams, you&rsquo;ll ensure data is reliable, well-governed and trusted throughout the business.</p>
<p>
You&rsquo;ll inherit a modern cloud-based platform and an established engineering team, with the autonomy to define the long-term technical roadmap and build best-in-class engineering practices.</p>
<h3 class="jobSectionHeader"><b>
Skills and Experience</b></h3>
<ul><li>Proven experience leading Data Engineering teams within modern cloud environments</li>
<li>Deep experience designing and managing modern data warehouses and analytics engineering environments</li>
<li>A strong understanding of data governance, quality, lineage and operational best practice</li>
<li>The ability to influence stakeholders across technical and non-technical teams</li>
<li>A track record of raising engineering standards and developing high-performing teams</li>
</ul>
<p>If you&rsquo;re looking for a senior leadership opportunity where you can combine technical expertise with strategic influence, we&rsquo;d love to hear from you.</p>
<h2 class="jobSectionHeader"><b>
Head of Data Engineering</b></h2></div><div></div>

Head of Data Engineering

TPXimpact

<div><h3 class="jobSectionHeader"><b>About The Role</b></h3>
<p><b>
Job level: 10<br>
</b></p><br>
<p>We&rsquo;re looking for a Lead Data Engineer to join our Data Engineering and Analytics practice.</p><br>
<p>
In this role, you will:</p><br>
<div></div>
<ul>
<li><p>Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible.</p>
</li><li><p>Coordinate teams and set best practices and standards when it comes to data engineering principles.</p>
</li><li><p>Champion data engineering across projects and clients.</p><br>
</li></ul><div></div><div><b>Responsibilities</b>
<ul>
<li><p>Lead by example, holding responsibilities for team culture, and how projects deliver the most impact and value to our clients.</p>
</li><li><p>Be accountable for the strategic direction, delivery and growth of our work.</p>
</li><li><p>Lead teams, strands of work and outcomes, owning commercial responsibilities.</p>
</li><li><p>Hold and manage uncertainty and ambiguity on behalf of clients and our teams.</p>
</li><li><p>Ensure teams and projects are inclusive through how you lead and manage others.</p>
</li><li><p>Effectively own and hold the story of our work, ensuring we measure progress against client goals and our DT missions.</p>
</li><li><p>Work with our teams to influence and own how we deliver more value to clients, working with time and budget constraints.</p>
</li><li><p>Strategically plan the overall project and apply methods and approaches.</p>
</li><li><p>Demonstrably share work with wider audiences.</p>
</li><li><p>Elevate ideas through how you write, speak and present.</p><br>
</li></ul><p></p><div><div><b>Dimensions</b></div><br>
<div><b>
</b></div><div><ul><li><p><b>Headcount</b><b>:</b> Typically leads a multidisciplinary team or multiple workstreams (team size 5&ndash;15)</p>
</li></ul><ul><li><p><b>Resource complexity:</b> Provides leadership across multiple workstreams or technical domains within a project or programme. Responsible for delivery coordination, prioritisation, and quality, often overseeing more junior leads or specialists.</p>
</li><li><p><b>Problem-solving responsibility</b><b>:</b> Solves highly complex problems, balancing technical, user, business, and operational needs. Applies expert judgement to make decisions, manage risks, and guide teams through ambiguity.</p>
</li><li><p><b>Change management requirements:</b> Leads or co-leads significant change initiatives. Responsible for managing stakeholder expectations, supporting adoption, and embedding sustainable ways of working.</p>
</li><li><p><b>Internal/External interactions:</b> Acts as a trusted partner to client and internal stakeholders at multiple levels. Leads workshops, presentations, and stakeholder engagement to ensure buy-in, alignment, and delivery clarity.</p>
</li><li><p><b>Strategic timeframe working towards:</b><b> </b>Works across mid- to long-term delivery cycles (6&ndash;12 months), ensuring that near-term work supports broader programme and client objectives.</p>
</li></ul></div></div></div><h3 class="jobSectionHeader"><b>About You</b></h3>
<b>Professional knowledge and experience</b>
<p><b>
Essential</b></p>
<ul>
<li><p>Proven experience in data engineering, data integration and data modelling</p>
</li><li><p>Expertise with cloud platforms (e.g. AWS, Azure, GCP)</p>
</li><li><p>Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks)</p>
</li><li><p>Expertise with multiple data analytics tools (e.g. Power BI)</p>
</li><li><p>Deep understanding of data warehousing concepts, ETL/ELT pipelines and dimensional modelling</p>
</li><li><p>Proficiency in advanced programming languages (Python/PySpark, SQL)</p>
</li><li><p>Experience in data pipeline orchestration (e.g. Airflow, Data Factory)</p>
</li><li><p>Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc)</p>
</li><li><p>Ability to communicate technical concepts to both technical and non-technical audiences</p>
</li><li><p>Proven experience in delivery of complex projects in a fast paced environment with tight deadlines</p><br>
</li></ul><br>
<p><b>Desirable</b></p>
<ul>
<li><p>Advanced knowledge of data governance, data standards and best practices.
</p></li><li><p>Experience in a consultancy environment, demonstrating flexibility and adaptability to client needs.</p>
</li><li><p>Experience defining and enforcing data engineering standards, patterns, and reusable frameworks</p>
</li><li><p>Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer)</p><br>
</li></ul><div></div><div><b>Skills</b>
<p><b>
Data Development Process</b></p>
<ul>
<li>Design, build and test data products that are complex or large scale</li>
<li>Build and lead teams to complete data integration services integration and reusable pipelines that meet performance, quality and scalability standards</li>
<li>Collaborate with architects to align solutions with enterprise data strategy and target architectures</li>
</ul>
<p><b>Data Engineering and Manipulation</b></p>
<ul>
<li>Work with data analysts, engineers and data science and AI specialists to design and deliver products into the organisation effectively.</li>
<li>Understand the reasons for cleansing and preparing data before including it in data products and can put reusable processes and checks in place.</li>
<li>Access and use a range of architectures (including cloud and on-premise) and data manipulation and transformation tools deployed within the organisation.</li>
<li>Optimise data pipelines and queries for performance and cost efficiency in distributed environments</li>
</ul>
<p><b>Testing (Data)</b></p>
<ul>
<li>Review requirements and specifications, and define system integration testing conditions for complex data products and support others to do the same</li>
<li>Identify and manage issues and risks associated with complex data products and support others to do the same</li>
<li>Analyse and report system test activities and results for complex data products and support others to do the same</li>
</ul>
<p><b>Other Skills</b></p>
<ul>
<li>Proficiency in developing and maintaining complex data models (conceptual, logical and physical).</li>
<li>Strong skills in data governance and metadata management.</li>
<li>Experience with data integration design and implementation.</li>
<li>Ability to write efficient, maintainable code for large scale data systems.</li>
<li>Experience with CI/CD pipelines, version control, and infrastructure-as-code (e.g. Git, Azure DevOps).</li>
<li>Strong stakeholder communication skills, with the ability to translate technical concepts into business terms.</li>
<li>Ability to mentor junior engineers, foster collaboration, and build a high-performing data engineering culture.</li>
</ul><div><b>Behaviours and PACT values</b>
<ul><li><b>Purpose:</b> Be values-driven, recognising that our client's needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs.</li>
<li><b>Accountability:</b> Be accountable for delivering your part of a project on time and under budget and working well with other leaders. Lead by example, promoting a culture where quality and client experience are foremost.</li>
<li><b>Craft:</b> Balance multiple priorities while leading high-performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes.</li>
<li><b>Togetherness:</b> Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients.</li></ul><div><br>
</div>
<br>
</div></div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><b>People-Powered Transformation</b></div><br>
<div></div>
<div>
<p>We're a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, we&rsquo;re creating sustainable solutions ready for an ever-evolving world.</p><br>
<p></p>
<p>
At the heart of TPXimpact, we&rsquo;re collaborative and empathetic. We&rsquo;re a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. That&rsquo;s why we believe in people-powered transformation.</p><br>
<p></p>
<p>
Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting.</p><br>
<p></p>
<p><b>
Benefits Include:</b></p>
<ul>
<li>30 days holiday + bank holidays</li>
<li>2 volunteer days for causes that you are passionate about</li>
<li>Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave</li>
<li>Life assurance</li>
<li>Employer pension contribution of 5%</li>
<li>Health cash plan</li>
<li>Personal learning and development budget</li>
<li>Employee Assistance Programme</li>
<li>Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme</li>
<li>Health assessments</li>
</ul>
</div><div><p><b>About TPXimpact - Digital Transformation</b></p><br>
<p>
We drive fundamental change in approaches to product and service development, delivery and technology. Our agile, multidisciplinary teams use technology, design and data to deliver better results, improving outcomes for individuals, organisations and communities.<br>
</p><p>By working in the open, in partnership with our clients, we not only transform their systems and services but also build the capability of their teams, so work can continue without us in the longer term. Our focus is sustainable change, always delivered with positive impact.</p><br>
<p></p>
<p><b>
We&rsquo;re an inclusive employer, and we care about diversity in our teams. Let us know in your application if you have accessibility requirements during the interview.</b></p></div></div><p></p>

Lead Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Join us to shape the future of financial analytics and technology. You will lead impactful projects that drive advanced data engineering and AI solutions across global teams. We offer opportunities for career growth, collaboration, and technical excellence. Your expertise will help us deliver mission-critical systems and foster a culture of innovation. Be part of a team where your ideas and leadership make a difference.</p><p><br>
As a Lead Data Engineering &amp; AI Technical Initiatives in the Global Analytics team, you will guide technical direction and drive innovation in real-time data processing. You will collaborate with research and trading teams to deliver advanced analytics capabilities and support global business needs. Your role will focus on building robust tools, mentoring team members, and influencing product design. You will help shape our technical standards and foster a diverse, inclusive, and collaborative environment.</p><p><b>
Job Responsibilities:</b></p><ul><li>
Lead technical initiatives across global analytics teams, providing guidance and direction in a high-velocity environment.</li><li>
Design, build, and optimize real-time data processing pipelines and applications to ensure reliability and performance.</li><li>
Leverage AI technologies to enhance data engineering workflows and automate SDLC processes.</li><li>
Collaborate with research and trading teams to onboard new datasets efficiently and consistently.</li><li>
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Build and support robust tools and frameworks for quantitative research and production trading.</li><li>
Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards.</li><li>
Influence product design, application functionality, and technical operations to meet evolving business demands.</li><li>
Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI.</li><li>
Champion diversity, inclusion, and collaboration within global teams.</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills:</b></p><ul><li>
Applied experience in software engineering, preferably in large-scale, fast-paced financial environments.</li><li>
Hands-on experience delivering system design, application development, testing, and operational stability for analytics-driven teams.</li><li>
Expertise in Python, KDB, or C++ for real-time data processing, application development, or data engineering.</li><li>
Working knowledge of AI technologies to support data engineering, analytics, or SDLC automation.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices</li><li>
Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies.</li><li>
Experience leading and mentoring teams in a global, collaborative environment.</li><li>
Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams.</li><li>
Academic background in Computer Science, Computer Engineering, Mathematics, or a related technical field.</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills:</b></p><ul><li>
Experience with market data venue and vendor data platforms.</li><li>
AWS experience; practical cloud native/cloud experience is a plus.</li><li>
Experience with Terraform and Kubernetes for managing production environments in public cloud.</li><li>
Knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading
</li></ul><b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Lead Software Engineer - Python and kdb+ / AI data integration, Alt Data & Data Ingestion

Fastmarkets

<div><b>Company Description</b><p><br>
Fastmarkets is an industry-leading price-reporting agency (PRA) and information provider for global commodities, providing price data, news, analytics and events for the agriculture, forest products, metals and mining and new-generation energy markets.</p><p>
Fastmarkets' data is critical for customers seeking to understand and predict dynamic, sometimes opaque markets, enabling trading and risk management. Fastmarkets is a global business with a history dating back to 1865 and is built on trust and deep market knowledge. It has more than 700 employees spread across global locations in the UK, US, China, India, Singapore, Brazil, Belgium, Bulgaria, Finland and beyond.</p><b><br>
Job Description</b><p><br>
Fastmarkets is, at its core, a data business. The prices, indices, and market intelligence we produce are relied upon by participants across global commodity, metals, forest products, agricultural and carbon markets to make investment/risk management decisions.</p><p>
The Head of Data Platform leads the team responsible for the organisation&rsquo;s foundational data capability and for unlocking the commercially strategic opportunities that the platform makes possible. The role exists to ensure that data is ingested, modelled, governed, and served to internal</p><p>
and external customer groups, through a Data Platform that operates as a product rather than a reactive service.</p><p>
This is a strategic leadership role with both technical depth and a product mindset. The Head of Data Platform owns the maturity of the organisation&rsquo;s Snowflake implementation, the data engineering function that staffs the team, the platform roadmap and SLAs, and the governance framework that underpins it. They are accountable for delivering against the needs of internal and external customer groups.</p><p>
The role reports to the Director of Data &amp; AI and has peer leaders in the AI Enablement, Data Insights, and Data Governance practices.</p><p><b>
Principal Accountabilities</b></p><ul><li>
Define, own, and deliver the multi-year strategy for the Data Platform, including the maturation of the Snowflake implementation, the curated data product layer, the published service catalogue that customer groups consume, and the strategic capabilities the platform enables.</li><li>
Own the direct monetisation capability for the Data Platform. Define and stand up &ndash; in close partnership with Product &ndash; the model by which curated data products are delivered to external paying customers via Snowflake-to-Snowflake sharing and equivalent mechanisms. This includes the technical pattern (including security and entitlements), the commercial packaging, the customer onboarding experience, the SLAs, and the operational model. The Head of Data Platform owns what this looks like and how it works; Product owns commercial strategy, pricing, and go-to-market.</li><li>
Build, lead, and develop, a world-class, highly-engaged, high performing team of data engineers and adjacent disciplines.</li><li>
Run the Data Platform as a product. Maintain a roadmap that balances customer-driven demand against foundational investment (governance, lineage, cost optimisation, observability) and the strategic capabilities that unlock new value &ndash; and that no single customer group could justify on their own.</li><li>
Own strategic vendor relationships.</li><li>
Represent the Data Platform to senior stakeholders, internal customer groups, and external paying customers. Build and broadcast the narrative that connects platform investment to revenue and to the strategic capabilities it enables.</li><li>
Work as a trusted design partner with neighbouring technology functions to deliver the above, including but not limited to Information Security, Cloud Engineering, Enterprise Architecture, IT, and Engineering.</li></ul><br>
<b>
Qualifications</b><p><br>
We recruit talented, dynamic people with diverse backgrounds and experiences, all united by a belief in our mission to provide the world&rsquo;s leading and most trusted price reporting, events, and intelligence service for the markets we serve. We&rsquo;re proud to be an equal opportunities employer and are committed to creating a fully inclusive workplace, where everyone feels able to participate and contribute meaningfully.</p><p>
If you are open-minded, curious, resilient, solutions-oriented and committed to promoting equality, then read on.</p><p><b>
KNOWLEDGE, EXPERIENCE AND SKILLS</b></p><p>
We are looking for an individual who is highly motivated, driven, and have a passion to be part of a fast-paced, successful team. Being a strong team player is also important as well as someone who is happy to work flexibly.</p><p><b>
Essential</b></p><ul><li>
Demonstrable experience leading a data engineering or data platform team at senior level, ideally including a transition from project-based or reactive delivery to a product operating model.</li><li>
Deep technical credibility in modern data platform architecture &ndash; cloud data warehousing (Snowflake or Databricks strongly preferred), ELT patterns, dimensional and analytics engineering practice (data build tool or equivalent), semantic modelling, and governance tooling.</li><li>
Practical experience with ultra-modern data sharing patterns, including secure data sharing, reader accounts, and marketplaces.</li><li>
Track record of maturing a fledgling data platform into a strategic capability, with visible improvements in reliability, cost management, and customer adoption.</li><li>
Product mindset with commercial fluency &ndash; the ability to articulate a platform roadmap, define services and SLAs, defend foundational investment against demand-led pressure, and engage substantively with Product and Commercial colleagues on data product packaging, pricing, and customer experience.</li><li>
Strong stakeholder leadership across diverse customer types &ndash; non-technical business users, embedded technical users, internal analytics teams, engineering peers, and external paying customers &ndash; with the ability to set expectations and build trust.</li><li>
Experience hiring and developing a highly-engaged, high-performing team.</li><li>
Vendor management experience, particularly with strategic data infrastructure vendors at meaningful commercial scale.</li></ul><p><b>
Desirable</b></p><ul><li>
Familiarity with the data needs of AI and ML use cases: feature engineering, embeddings, vector stores, retrieval patterns &ndash; sufficient to engage credibly with the AI team as a customer.</li><li>
Familiarity with the legal, contractual, and licensing considerations specific to selling data &ndash; data rights, customer obligations, audit, and the boundary between the technical delivery and the commercial agreement.</li></ul><p>
If you're excited about the role but your experience, skills or qualifications don't perfectly align, we encourage you to apply anyway.</p><b><br>
Additional Information</b><p><b><br>
Our Values</b></p><p>
Fastmarkets people come from all different walks of life. It&rsquo;s this mix of brilliant personalities, experiences and insights that gives us that warm, open, and friendly culture you can feel as soon as you meet us. But however wonderfully different we all are, there are six things we all have in common &ndash; and they form our Fastmarkets values.</p><p>
Created by our own employees to reflect some of the personal traits that Fastmarkets people have, our values are key to what makes our culture unique. They reflect who each of us are and they're embedded in everything we do. Our values are:</p><ul><li><b>
METRICS DRIVEN.</b> We use insights to improve our customers&rsquo; experience and our business performance</li><li><b>
ACCOUNTABLE. </b>We are accountable to ourselves and those we work with: we keep our promises and get things done</li><li><b>
GROWTH MINDSET</b>. This value enables us to be nimble to the changing realities and operate with a sense of urgency</li><li><b>
INCLUSIVE.</b> We are inclusive and respectful, celebrating each of us and giving everyone a deep sense of belonging with the desire to bring their best self to work every day.</li><li><b>
CUSTOMER CENTRIC.</b> We are customer-centric in all that we do</li><li><b>
COLLABORATIVE.</b> We are collaborative, able to work across teams and capitalise on the diversity of intellect, perspectives, and experiences.</li></ul><p>
We are committed to ensuring all candidates feel welcomed and supported. Should your application advance and you require accommodations for the interview process, please inform us so we can make the necessary arrangements.</p><div></div><p><b>
You&rsquo;ve read a little about us &ndash; now it&rsquo;s over to you!</b></p><p>
If you like what you&rsquo;ve read so far and think you can see yourself as a Fastmarkets person, it&rsquo;s time to fill in your application form. This form is an important part of the selection process: it&rsquo;s used to determine whether or not you&rsquo;ll be chosen to have an interview and acts as a basis for the questions we&rsquo;ll ask you on the day.</p><p>
It&rsquo;s vital that you try to capture all the relevant information we have asked for on the form so we can get a good feel for who you are and why you&rsquo;re great.</p></div>

Head of Data Platform

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