At a Glance
- Tasks: Lead data engineering and governance, shaping strategy and ensuring effective operations.
- Company: Join a forward-thinking organisation with a focus on data-driven decision-making.
- Benefits: Competitive salary, leadership opportunities, and a chance to influence company-wide data practices.
- Other info: Collaborate with cross-functional teams and drive innovation in data management.
- Why this job: Make a significant impact on data strategy and governance in a dynamic environment.
- Qualifications: Proven leadership in data engineering and governance, with experience in cloud environments.
The predicted salary is between 80000 - 100000 € per year.
As the Head of Data Engineering & Governance, you will provide senior leadership and strategic direction for the organisation’s data engineering capability and data governance framework. This role reports into the Senior Director of Data & Insight and operates as the senior authority for:
- Data warehouse and platform strategy.
- Architectural standards and long-term technical direction.
- Data governance, quality and ownership frameworks.
- Cross-functional data alignment across Technology, Operations, Finance and Commercial teams.
You will ensure the data engineering function operates effectively through clear leadership, direction, and partnership with the Data Engineering Manager and the wider team, while driving company-wide improvements in how data is structured, owned, trusted and governed. This is a senior leadership role with company-wide influence.
Requirements
- Held senior leadership responsibility for data engineering, data platform and/or data architecture functions.
- Owned or evolved a modern data warehouse at scale.
- Led data governance or data quality initiatives across multiple business functions.
- Successfully line managed senior leaders who hold stakeholder and/or people management duties or are senior technical Individual Contributors.
- Operated in complex stakeholder environments requiring influence without direct authority.
- Shaped long-term data and platform strategy aligned to business goals.
- Made and defended significant architecture and tooling decisions.
- Worked within cloud-first environments (AWS preferred).
- Balanced strategic leadership with sufficient technical depth to command credibility.
- Working in close partnership with analytics, reporting, software engineering, IT, platform/cloud teams, and operations.
Although this is primarily a hands-off role, experience with SQL, Python, Git-based workflows, Linux and/or Unix command line including Bash/Shell scripting is preferred.
Head of Data Engineering & Governance in London employer: UNiDAYS
As the Head of Data Engineering & Governance, you will join a forward-thinking organisation that prioritises innovation and collaboration. Our work culture fosters an environment of continuous learning and professional growth, offering ample opportunities for career advancement while working alongside talented professionals in a dynamic setting. Located in a vibrant area, we provide a supportive atmosphere that values data-driven decision-making and encourages cross-functional partnerships, making it an excellent place for those seeking meaningful and impactful employment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Engineering & Governance in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, be ready to discuss your past successes in data governance and engineering. Share specific examples of how you've shaped strategies and influenced teams.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Even if this is a leadership role, having a solid understanding of SQL, Python, and cloud environments will help you command respect and credibility during discussions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can give you an edge. Plus, it shows your enthusiasm for joining our team at StudySmarter!
We think you need these skills to ace Head of Data Engineering & Governance in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Head of Data Engineering & Governance. Highlight your experience in data engineering, governance frameworks, and any leadership roles you've held. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can lead our data engineering function. Be sure to mention specific achievements that demonstrate your strategic direction and leadership skills.
Showcase Your Technical Skills:While this is a senior role, we still value technical depth. Mention your experience with SQL, Python, and cloud environments like AWS. We want to know how you balance strategic leadership with hands-on technical expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at UNiDAYS
✨Know Your Data Inside Out
As the Head of Data Engineering & Governance, you'll need to demonstrate a deep understanding of data architecture and governance frameworks. Brush up on your knowledge of modern data warehouses and be ready to discuss your experience with cloud environments, especially AWS. This will show that you’re not just a leader but also technically savvy.
✨Showcase Your Leadership Style
This role requires strong leadership skills, so think about how you can convey your management style during the interview. Prepare examples of how you've successfully led teams, influenced stakeholders, and driven cross-functional alignment. Highlight specific instances where your leadership made a tangible impact on data governance or engineering initiatives.
✨Prepare for Complex Stakeholder Scenarios
Expect questions about navigating complex stakeholder environments. Be ready to share experiences where you influenced decisions without direct authority. Think of examples that illustrate your ability to balance strategic vision with technical depth, and how you’ve managed to align diverse teams towards common data goals.
✨Demonstrate Your Strategic Vision
Articulate your long-term vision for data engineering and governance. Be prepared to discuss how you would shape the data platform strategy in line with business objectives. Show that you can think ahead and make informed architectural decisions that will benefit the organisation in the long run.
