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For Companies At a Glance
- Tasks: Lead and develop high-performing data engineering teams while shaping technical strategy.
- Company: Join a market-leading SaaS organisation in Central London with a hybrid work model.
- Benefits: Competitive salary, professional development, and a supportive work environment.
- Why this job: Make a real impact by building scalable data platforms and nurturing talent.
- Qualifications: Strong foundation in Data Engineering and proven leadership experience.
- Other info: Opportunity to thrive in a dynamic, collaborative culture focused on innovation.
The predicted salary is between 72000 - 108000 ÂŁ per year.
dcoded is partnering with a market-leading SaaS organisation as they appoint a Head of Data Engineering to lead, scale, and evolve their data engineering capability. This is a senior leadership role with a strong emphasis on Google Cloud (GCP), organisational influence, and people development.
You will sit at the intersection of technology, delivery, and leadershipâsetting direction, growing teams, and ensuring the data platform is built to scale, perform, and enable the wider business.
The Role
- Leadership
- Lead and develop highâperforming data engineering teams through coaching, mentoring, and clear progression frameworks.
- Create an environment where psychological safety, inclusion, and high standards coexist.
- Enable engineers to do their best work by aligning individual growth with team and business outcomes.
- Act as a visible cultural leader, reinforcing values and supporting a connected, engaged engineering community.
- Data Platform & Technical Direction
- Take ownership of the longâterm stability, scalability, and quality of the data platforms under your remit.
- Influence and help define the organisation's data and AI technical strategy.
- Work closely with architects, tech leads, and engineering leadership to align on design decisions and reduce technical risk.
- Promote strong engineering practices around reliability, performance, testing, and observability, with teams accountable for live systems.
- Delivery, Planning & Execution
- Partner with Product and Data leaders to shape roadmaps, priorities, and delivery plans.
- Ensure teams are appropriately structured and equipped to deliver consistently without compromising quality.
- Track delivery effectiveness, address constraints, and continuously improve how work flows through the team.
- Identify risks early, manage tradeâoffs, and represent your teams in crossâfunctional forums.
- Hiring & Team Scaling
- Lead hiring efforts to attract, assess, and onboard diverse data engineering talent.
- Evolve team structure and capability in line with both technical needs and future growth.
- Play an active role in performance reviews, promotion processes, and longâterm talent planning.
- Stakeholder Partnership
- Build strong relationships with product, analytics, and senior business stakeholders.
- Clearly communicate complex technical topics in a way that supports informed decisionâmaking.
- Think beyond team boundaries, balancing local delivery with organisationâwide priorities and outcomes.
What Weâre Looking For
- A strong foundation in Data Engineering, with handsâon experience working on modern data platforms.
- Proven experience designing and operating data systems in the cloud (GCP strongly preferred).
- Previous leadership experience managing data or analytics engineering teams.
- A track record of improving delivery, process, and team effectiveness.
- Confidence working across planning, estimation, prioritisation, and stakeholder alignment.
- A collaborative leadership style with the ability to build trust across technical and nonâtechnical audiences.
- A calm, pragmatic approach when operating in complex or ambiguous environments.
- Genuine passion for developing people through coaching, feedback, and structured growth.
If youâre motivated by building highâimpact data teams, shaping technical strategy, and creating an environment where engineers can thrive, dcoded would love to speak with you.
Head of Data Engineering in London employer: dcoded. | B Corp TM pending
Contact Detail:
dcoded. | B Corp TM pending Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Head of Data Engineering in London
â¨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors to opportunities that arenât even advertised.
â¨Show Off Your Skills
Donât just talk about your experienceâshow it! Create a portfolio or GitHub repository showcasing your projects and achievements. This gives potential employers a tangible sense of what you can bring to the table.
â¨Ace the Interview
Prepare for interviews by researching the company and practising common questions. Be ready to discuss how your leadership style aligns with their values and how you can help them scale their data engineering teams.
â¨Apply Through Us!
Weâve got your back! Apply through our website for the best chance at landing that dream job. Weâre here to support you every step of the way in your job search journey.
We think you need these skills to ace Head of Data Engineering in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data Engineering role. Highlight your leadership experience, especially in data engineering and cloud platforms like GCP or AWS.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of how you've led teams and improved processes in previous roles.
Showcase Your Technical Skills: Donât forget to mention your hands-on experience with modern data platforms and any relevant projects. We want to see how youâve tackled challenges and delivered results in your past roles.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity!
How to prepare for a job interview at dcoded. | B Corp TM pending
â¨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering fundamentals, especially around GCP and cloud technologies. Be ready to discuss your hands-on experience with modern data platforms and how you've tackled challenges in previous roles.
â¨Showcase Your Leadership Skills
Prepare examples of how you've led teams in the past. Think about times when you coached or mentored engineers, created a positive team culture, or influenced technical strategy. This role is all about leadership, so make it clear that you can inspire and develop others.
â¨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. Youâll need to communicate effectively with both technical and non-technical stakeholders, so being able to break down your ideas will be key. Consider using real-world examples to illustrate your points.
â¨Be Ready to Discuss Delivery and Strategy
Think about how you've shaped delivery plans and roadmaps in your previous roles. Be prepared to talk about how youâve identified risks, managed trade-offs, and improved team effectiveness. This shows you understand the bigger picture and can align team goals with business outcomes.
