data engineering manager

On the Beach

<div><p>We&rsquo;re On the Beach! Since 2003, we&rsquo;ve been rewriting the rules of how people discover, book and experience their perfect getaway. What started as connecting people to short-haul beach holidays has evolved into something much bigger: premium beach destinations, long-haul adventures and vibrant city breaks and that&rsquo;s just the beginning of our story.</p><p>
Powered by our deep-rooted entrepreneurial spirit, proprietary tech, curiosity and our incredible people, we&rsquo;re accelerating delivering best-in-class technology, the ultimate holiday app, and experiences that keep our customers coming back for more.</p><p>
Ready to build the future of travel with us?</p><p></p><p><b>
About the Role</b></p><p>
We&rsquo;re looking for a Data Engineering Manager to help lead and grow our data engineering capability, shaping the platforms and practices that power analytics, insight and AI-driven innovation across the business.</p><p>
This is a great opportunity for someone who enjoys developing people as much as solving complex technical and platform challenges. You&rsquo;ll play a key role in helping us modernise how data moves through the business, from event-driven cloud data through to more traditional operational data sources, while supporting a talented team of engineers to do their best work.</p><p></p><p><b>
What you&rsquo;ll be doing day to day</b></p><p>
As Data Engineering Manager, you&rsquo;ll help lead a team responsible for building reliable, scalable and trusted data products across On the Beach.</p><p>
The role will be varied, with your time broadly split across three key areas: helping us consume and shape event-driven data, working with more traditional data sources and patterns, and supporting the growth and development of the team.</p><p>
You&rsquo;ll work closely with engineers, analysts, product teams, commercial teams and senior stakeholders to make sure our data platforms are robust, well understood and genuinely useful to the business.</p><p></p><p><b>
You&rsquo;ll be responsible for:</b></p><ul><li><p>
Leading, supporting and developing a team of data engineers, creating an environment where people can grow, share knowledge and deliver high-quality work</p></li><li><p>
Shaping our approach to both modern event-driven data and more traditional data sources, helping improve how we ingest, process, model and make data available across the business</p></li><li><p>
Supporting the design and evolution of our data platform, including pipelines, orchestration, observability, lineage, governance and data quality</p></li><li><p>
Partnering with teams across Product, Engineering, Analytics and Data to understand business needs and translate them into scalable, maintainable data solutions</p></li><li><p>
Helping define and improve data engineering standards around testing, monitoring, documentation, deployment and reliability</p></li><li><p>
Making pragmatic technical decisions that balance delivery, platform quality, long-term maintainability and business value</p></li><li><p>
Encouraging a culture of technical curiosity, continuous improvement and strong engineering practice across the team</p></li></ul><p><br>
We&rsquo;re looking for someone who enjoys both technical leadership and people development. You&rsquo;ll be comfortable working across engineering detail, platform direction and stakeholder conversations.</p><p></p><p><b>
You&rsquo;ll likely bring experience in:</b></p><ul><li><p>
Building, operating or leading cloud-based data platforms and production-grade data workflows</p></li><li><p>
Working with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similar</p></li><li><p>
Event-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environments</p></li><li><p>
Designing reliable, observable and well-tested data products that can be trusted by both technical and non-technical users</p></li><li><p>
Coaching, mentoring or supporting engineers, with an interest in helping people develop and progress</p></li><li><p>
Communicating technical ideas clearly and making pragmatic decisions in fast-moving environments</p></li></ul><p>
Nice to have</p><ul><li><p>
Experience with lakehouse architecture, medallion-style workflows or enterprise data modelling</p></li><li><p>
Exposure to data governance, catalogue tooling, lineage, data quality frameworks or access management</p></li><li><p>
Experience using AI tools to support engineering productivity, automation or data quality</p></li><li><p>
Experience helping teams move from batch-heavy or legacy patterns towards more real-time, event-driven or cloud-native approaches</p></li></ul><p></p><p><b>
Our benefits</b><br>
We might be biased but we think our colleagues are pretty great. They're the people that have made On the Beach what it is today and continue to make it vibrant and successful tomorrow. That's why we offer a competitive benefits package, known as our Beach Perks, to all On the Beach colleagues.</p><p>
These include:</p><ul><li><p>
25 days holiday plus your birthday off</p></li><li><p>
Generous discount on holidays, plus you will receive 2 extra days annual leave on top of your holiday allowance to use whilst you're away on your On the Beach package holiday</p></li><li><p>
Access to Learnerbly learning platform, plus workshops, courses and professional qualifications</p></li><li><p>
Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support</p></li><li><p>
Employee Assistance Programme and free access to counselling</p></li><li><p>
Simplyhealth Optimise Health Plan</p></li><li><p>
Company Sick Pay scheme</p></li><li><p>
Regular wellbeing events</p></li><li><p>
Gym discount</p></li><li><p>
Share Incentive Plan (SIP)</p></li><li><p>
Death in Service cover</p></li><li><p>
Onsite subsidised coffee shop</p></li><li><p>
The Sandbox (our very own bar)</p></li><li><p>
Food and drink discounts across a number of venues in Manchester City Centre</p></li><li><p>
Regular social events</p></li><li><p>
Cycle to Work scheme</p></li></ul><p></p><p><b>
What success looks like</b></p><p>
Success in this role is about building data pipelines and products that teams can trust.</p><p>
You&rsquo;ll help improve the reliability, quality and performance of our data platform, making it easier for teams across On the Beach to access and use the data they need. You&rsquo;ll reduce friction for downstream analytics and AI use cases by creating well-structured, well-tested and well-documented data products.</p><p>
You&rsquo;ll also contribute to a strong engineering culture within the data team, where standards are clear, pipelines are observable, and continuous improvement is part of how we work.</p><p></p><p><b>
What to expect from our interview process</b></p><p>
We&rsquo;ll run a multiple stage interview process, one stage of which will be an in-person interview at our fabulous Aeroworks office in Manchester city centre.</p><p>
We want to make sure everybody has the opportunity to perform at their best. If you require any reasonable adjustments during the interview process please let the Talent Acquisition team know and they will be happy to assist.</p><p></p><p><b>
Ways of working</b><br>
Our full time hours are 37.5 per week, but we don't have rigid working hours so you can find the working pattern that's right for you. We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work.</p><p>
We also have hybrid working so we all work from home and from our Aeroworks office in Manchester City Centre. As a team we are in the office 2 days per week (usually Tuesday &amp; Wednesday).</p></div>

Data Engineering Manager

NFU Mutual

<div><div><div><div><h2 class="jobSectionHeader"><b>Data Engineering Manager<br>
</b></h2><div><ul><br>
<li>Enable pricing decisions by provisioning high-quality self-serve data extracts</li><br>
<li>
Mentor and develop a team of junior analysts</li><br>
<li>
Hybrid 80% homeworking and 20% from Stratford Upon Avon</li><br>
</ul></div><h2 class="jobSectionHeader"><b>
About the role</b></h2><div><p>
At NFU Mutual, this Data Engineering Manager role sits within the pricing data workstream, focused on enabling pricing activity through high quality, accessible data. You will play a key role at the very start of pricing projects, ensuring the right data is in place so work can progress effectively.</p><p><br>
You will lead and manage projects to develop data capability, including data validation, data governance and asset management that support pricing and underwriting strategy.</p><p><br>
A core part of the role is delivering engineered datasets to support pricing decisions. You will provide accurate data, challenge assumptions and align technical solutions with business needs.</p><p><br>
Working closely with pricing teams and stakeholders across the business, you will build strong relationships and translate requirements into effective data solutions. You will also take ownership of data feeds into pricing, managing priorities and ensuring high quality, reliable information is available when needed.</p><p><br>
Alongside delivery, you will lead and support a small team, helping to develop capability, set clear expectations and maximise contribution to business outcomes.</p><p><br>
This role is based in our Tiddington Head Office, just outside Stratford-Upon-Avon. However, we understand how important a positive work-life balance is, so to help you give your best, we offer great facilities when you want to be in an office environment and support to work up to 80% of your hours from home.</p><p><i><br>
Internally, this role is called Data Consultant.</i></p></div><h2 class="jobSectionHeader"><b>
About you</b></h2><div><p>
You are a confident and collaborative data professional who builds strong relationships and works effectively with stakeholders across the business. You demonstrate accountability in everything you do, take ownership of delivery and make informed decisions with confidence. You manage competing priorities, using strong time management and prioritisation skills to deliver against deadlines. You influence others positively, handle challenges with a pragmatic approach and resolve conflicts constructively. You also support others through clear communication, delegation and coaching, helping individuals and teams perform at their best.</p><p><br>
To join NFU Mutual, you&rsquo;ll also bring (essentials)</p><br>
<ul><li>
Strong experience using SQL</li><br>
<li>
Proven experience leading projects and delivering data solutions</li><br>
<li>
Experience of leadership, management or coaching</li><br>
<li>
Knowledge of Azure DevOps or similar platforms such as AWS or GCP</li><br>
<li>
Experience with data integration services including ETL</li></ul><p><i><br>
At NFU Mutual, we support an inclusive workplace and value all the differences that make us unique. We celebrate the creativity and innovation that comes from diverse perspectives and experiences and share a common vision of doing the right thing for our customers and employees.<br>
</i></p><br>
<p><i>We recognise that some candidates may experience barriers during the recruitment process. So, we encourage candidates to discuss any adjustments or accommodations they need to be the best they can be throughout our recruitment process.</i></p><p><i><br>
We're proud to be a Disability Confident Employer, a Race at Work and Women in Finance Charter signatory and welcome applications from people of all backgrounds, regardless of age, ethnicity, disability, neurodiversity, gender, religion, marital status, sexual orientation, or socioeconomic background.</i></p></div><h2 class="jobSectionHeader"><b>
Benefits and Rewards</b></h2><div><p>
When you join our team, you can expect a supportive culture and an attractive range of rewards and benefits including:</p><br>
<ul><li>
Salary up to &pound;65,000 depending on experience</li><br>
<li>
Annual bonus (up to 17.5% of salary)</li><br>
<li>
Contributory pension scheme, up to 20%, including your 8% contribution</li><br>
<li>
25 days annual leave + bank holidays + buy/sell/save holiday trading scheme</li><br>
<li>
A Family Friendly policy that helps you balance your work and family responsibilities</li><br>
<li>
Access to savings at High Street brands, travel and supermarkets</li><br>
<li>
&pound;20 contribution to a monthly gym membership &ndash; subject to T&amp;Cs</li><br>
<li>
Health and wellbeing plan - cashback for dentist, opticians, physio and more</li><br>
<li>
Access to voluntary benefits, including health assessments, private medical insurance and dental insurance</li><br>
<li>
Employee Volunteering - volunteer in the community for one day each year</li><br>
<li>
Unlimited access to Refer a Friend &pound;500 bonus scheme</li><br>
<li>
Life Assurance cover of 4 x salary</li><br>
<li>
Employee discounts of 15% on a range of NFU Mutual insurance policies.</li><br>
<li>
Salary sacrifice employee car scheme - subject to eligibility</li><br>
</ul></div><h2 class="jobSectionHeader"><b>
Working at NFU Mutual</b></h2><div><p>
We&rsquo;re one of the UK&rsquo;s leading general insurance and financial services organisations, and for over 110 years we&rsquo;ve put our customers at the heart of everything we do. Our people are just as important to us, so we&rsquo;re proud to be recognised as &ldquo;a great place to work&rdquo;.</p><p><br>
Our Gallup Exceptional Workplace 2026 award was not only awarded with Distinction, but it also marked us as the first UK based company to earn a Gallup Exceptional Workplace award for eleven consecutive years. We&rsquo;ve also been consistently recognised by Glassdoor. We appeared in the Glassdoor Best Places to Work UK list in 2023, 2024 and 2026 &mdash; and in 2026, we were the highest ranked insurance business in the UK, highlighting our strong employee experience and the positive feedback our people share on the platform.</p><p><br>
Additionally, we were named in the LinkedIn Top Companies 2026 list of &ldquo;Best midsize employers to grow your career in the UK&rdquo;, and we&rsquo;ve been certified as a UK Top Employer by the Top Employers Institute in 2023, 2024, 2025 and 2026.<br>
We offer a supportive and empowering culture where people are inspired to perform, given opportunities to grow, and recognised and rewarded for their contribution. Our people are proud to work for a company that respects them and their communities, and they trust us to be financially sustainable&mdash;so we&rsquo;re successful now and in the future.</p></div><br>
</div>
</div><div><div><h2 class="jobSectionHeader"><b>Stratford-upon-Avon</b></h2>
<p>Tiddington Road<br>
Stratford-upon-Avon<br>
Warwickshire<br>
CV37 7BJ</p>
Visit the Stratford-upon-Avon (Tiddington) office
</div><div><h2 class="jobSectionHeader"><b>Vacancy managed by</b></h2>
<p>Emily Cumming</p></div></div></div></div><p></p>

<div>The Opportunity<br>
<br>
As a Tax Innovation &amp; Delivery Experience - Data Engineering - Manager, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.<br>
<br>
In this role within our Tax practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will have the opportunity to work with advanced technologies and techniques, contributing to the development of robust data solutions for clients. This position offers a dynamic environment where you can develop skills outside your comfort zone and encourage others to do the same, all while upholding PwC&rsquo;s quality standards.<br>
<br>
Responsibilities<br>
<br>
<ul><li>Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis</li><li>Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights</li><li>Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data engineering solutions</li><li>Developing data architecture and modeling strategies to support business growth and informed decision-making</li><li>Managing database administration and optimization to enhance data quality and performance</li><li>Applying database security best practices to safeguard data integrity and compliance</li><li>Leading teams in strategic planning and execution of data-driven initiatives</li><li>Coaching and mentoring team members to leverage their strengths and deliver quality outcomes</li><li>Analyzing system components to identify linkages and interactions for improved data solutions</li><li>Encouraging innovation and embracing technology to enhance delivery and client service expectations</li></ul><br>
What You Must Have<br>
<br>
<ul><li>At least a Bachelor's degree</li><li>At least 4 years of experience</li></ul><br>
What Sets You Apart<br>
<br>
<ul><li>Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics</li><li>Excelling in data architecture development and data integration</li><li>Utilizing Azure Data Factory and Microsoft Azure Databricks</li><li>Developing and optimizing data pipelines and data warehouses</li><li>Implementing data anonymization and data security best practices</li><li>Leading teams in agile scalability and strategic questioning</li><li>Mentoring others in data engineering platforms and tools</li></ul><p><br>
The salary range for this position is: $99,000 - $266,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance</p><p></p><p>
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.</p><p></p><p>
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.</p><p></p><p>
Learn more about how we work: https://pwc.to/how-we-work</p><p></p><p>
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.</p></div><p></p>

Tax Innovation & Delivery Experience - Data Engineering - Manager

ICAEW

<div>
 <p>
  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
  <em>
   Direction 2030
  </em>
  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.
 </p>
 <p>
 </p>
 <p>
  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.
 </p>
 <p>
 </p>
 <p>
  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.
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
  <strong>
   What you will be doing:
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <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>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   What you will need:
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <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>
 <p>
 </p>
 <p>
  Please see full job description attached.
 </p>
 <p>
  <strong>
   What you can expect from us
  </strong>
 </p>
 <p>
  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:
 </p>
 <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>
 <p>
  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.
 </p>
 <p>
  <strong>
   Additional Information
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  <strong>
   Who We Are
  </strong>
 </p>
 <p>
  <strong>
   Diversity &amp; Inclusion
  </strong>
 </p>
 <p>
  <strong>
   Governance
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   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.
  </strong>
 </p>
 <p>
 </p>
</div>


Data Engineering Lead

Staffbase

<div><div><h3 class="jobSectionHeader"><b>About Staffbase</b></h3>
<p>
We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first <b>AI-native Employee Experience Platform</b>. Our<b> industry-leading and award-winning agentic AI communications channels</b> - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.</p>
<p>
Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience.<br>
We are proud to be a <b>Unicorn</b> company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</p></div><p><b>
Engineering Manager &ndash; Data &amp; Analytics</b></p>
<p>
As Engineering Manager for our Data &amp; Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment, and bring the technical depth needed to develop your team and keep us on the right track.</p>
<p>
You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization, and roadmap negotiation &mdash; with enough technical grounding to make sound decisions and mentor engineers day to day.</p>
<p><b>
Our environment</b></p>
<ul>
<li>Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team</li>
<li>While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends into 2027 and beyond.</li>
<li>You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.</li>
<li>Data governance for AI agents is an emerging and fast-growing priority &mdash; a technically exciting area we're starting to build into</li>
</ul>
<p><b>What you'll be doing</b></p>
<ul>
<li>Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture</li>
<li>Own the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromises</li>
<li>Mediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance both</li>
<li>Bring hands-on experience in Data streaming to guide the team through an active transition</li>
<li>Raise the bar on data modeling across the team</li>
<li>Drive the cultural and technical shift toward distributed data ownership, helping product teams progressively own their own data</li>
<li>With your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where needed</li>
<li>Build the foundations for AI data governance &mdash; as agentic analytics becomes customer-facing, you will need to think through guardrails, access control, and safety for AI agents interacting with data</li>
</ul>
<p><b>What you need to be successful</b></p>
<ul>
<li>Proven experience at Staff Engineer level (or equivalent) in a data engineering context. You have been deep in the technical work and now want to lead people</li>
<li>A genuine player-coach mindset</li>
<li>Strong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teams</li>
<li>Solid data modeling skills and the credibility to make it a team-wide standard</li>
<li>Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking</li>
<li>Strong communication skills and the ability to drive a cultural shift toward distributed, self-service data ownership</li>
<li>Comfort operating across both platform and product delivery contexts</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>Experience with data governance for AI agents &mdash; guardrails, access control, and safety considerations for agentic analytics</li>
<li>Familiarity with data lakes, semantic layers, and orchestration tooling at scale</li>
<li>Experience in a product-led B2B SaaS environment</li>
<li>Hands-on streaming experience (e.g. Kafka or Flink)</li>
</ul>
<p><b>What you'll get</b></p>
<ul>
<li><i>Competitive Compensation</i> - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li><i>Flexibility </i>- we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li><i>Recharge</i> - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li><i>Support</i><b> </b>-<b> </b>we offer offering a company pension scheme</li>
<li><i>Volunteers Day</i><b> </b>- you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Engineering Manager, Data & Analytics

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>

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