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- Tasks: Lead and scale data engineering teams, architecting modern data solutions.
- Company: Join a major UK financial services organisation committed to tech-driven transformation.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and growth.
- Why this job: Shape the future of data in a trusted institution while driving customer innovation.
- Qualifications: Proven leadership in data engineering and expertise in cloud-native architecture required.
- Other info: Weekly travel to Greater Manchester office is necessary; no sponsorship available.
The predicted salary is between 72000 - 108000 £ per year.
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A major UK financial services organisation is seeking a visionary Head of Data Engineering to lead and scale its enterprise-wide data platforms. Youll drive the design and delivery of modern data solutions across cloud, analytics, and core banking systems — enabling smarter decisions, customer innovation, and regulatory excellence.
Key Responsibilities:
Lead and develop high-performing data engineering teams
Architect scalable, secure data pipelines and platforms (Azure, Databricks, etc.)
Partner with product, risk, and tech leaders to deliver data-driven outcomes
Champion best practices in data governance, quality, and DevOps
What You’ll Bring:
Proven leadership in large-scale data engineering within complex environments
Deep technical expertise in cloud-native data architecture
Strong strategic thinking and stakeholder engagement skills
Passion for transforming legacy systems into modern, value-driving platforms
This is a rare opportunity to shape the future of data in a trusted institution committed to tech-driven transformation.
Candidates must be able to travel to the Greater Manchester office weekly and have full working rights in the UK, sponsorship is not available.
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Head of Data Engineering employer: InterQuest Group
Contact Detail:
InterQuest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around cloud technologies like Azure and Databricks. Being able to discuss these topics confidently during interviews will show your expertise and passion for the field.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those involved in data engineering. Attend industry events or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Prepare to discuss specific examples of how you've led data engineering teams and implemented scalable solutions in previous roles. Highlighting your leadership skills and successful projects will demonstrate your capability to take on this role.
✨Tip Number 4
Research the company’s current data initiatives and challenges. Tailoring your conversation to address how you can contribute to their goals will make you stand out as a candidate who is not only qualified but also genuinely interested in their mission.
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your leadership experience in data engineering, particularly in large-scale environments. Emphasise your technical expertise in cloud-native data architecture and any relevant projects you've led.
Craft a Compelling Cover Letter: In your cover letter, express your passion for transforming legacy systems into modern platforms. Discuss how your strategic thinking and stakeholder engagement skills can contribute to the company's goals.
Showcase Relevant Experience: When detailing your work history, focus on specific achievements related to data governance, quality, and DevOps practices. Use metrics to demonstrate the impact of your contributions.
Prepare for Interviews: Anticipate questions about your vision for data engineering and how you would lead teams. Be ready to discuss your approach to architecting scalable data solutions and your experience with tools like Azure and Databricks.
How to prepare for a job interview at InterQuest Group
✨Showcase Your Leadership Skills
As a Head of Data Engineering, you'll need to demonstrate your ability to lead high-performing teams. Prepare examples of how you've successfully managed teams in the past, focusing on your leadership style and how you foster collaboration and innovation.
✨Highlight Technical Expertise
Be ready to discuss your deep technical knowledge in cloud-native data architecture. Familiarise yourself with Azure and Databricks, and be prepared to explain how you've used these technologies to architect scalable data solutions in previous roles.
✨Emphasise Strategic Thinking
The role requires strong strategic thinking skills. Think about how you've approached complex problems in the past and be prepared to share your thought process. Discuss how you align data engineering initiatives with broader business goals.
✨Prepare for Stakeholder Engagement
You'll need to partner with various leaders across product, risk, and tech. Prepare to discuss your experience in engaging stakeholders and how you've successfully communicated technical concepts to non-technical audiences.