Lead Data Engineer - Driver and Vehicle Licensing Agency - G7 in Manchester

Lead Data Engineer - Driver and Vehicle Licensing Agency - G7 in Manchester

Manchester Full-Time 55000 - 65000 £ / year (est.) No working from home possible
Manchester Digital

At a Glance

  • Tasks: Lead the design and build of impactful data products and pipelines.
  • Company: Join the DVLA's innovative data platform team in Swansea.
  • Benefits: Competitive salary, career growth, and the chance to shape national digital services.
  • Other info: Collaborative environment with opportunities to mentor and set engineering standards.
  • Why this job: Make a real difference by improving digital services at a national scale.
  • Qualifications: Experience in leading data engineering, strong SQL and Python skills required.

The predicted salary is between 55000 - 65000 £ per year.

This Lead Data Engineer role sits within DVLA’s data platform team, working on modern, large-scale data systems that drive better decisions, insights and digital services.

Why this role stands out

  • Lead engineering for high-impact data products across DVLA
  • Work with modern technologies including Databricks, Spark, and lakehouse architectures
  • Shape standards and best practice across a growing data function
  • Collaborate with product teams, analysts and data scientists
  • Play a key role in improving digital services at national scale

What You’ll Be Doing

  • Leading the design and build of data pipelines and data products
  • Developing robust data models and integrations across systems
  • Ensuring data is processed efficiently for analytics and business intelligence
  • Driving best practice and standards across data engineering teams
  • Supporting performance optimisation and balancing cost, scalability and reliability
  • Working across teams to enable reuse of data and improve delivery

Who This Role Could Suit

This role could be a strong fit if experience includes:

  • Leading data engineering or data platform delivery
  • Strong SQL and Python development skills
  • Experience with big data technologies (e.g. Spark, Databricks)
  • Data modelling, warehousing and large-scale data processing
  • Mentoring teams and setting engineering standards

Lead Data Engineer - Driver and Vehicle Licensing Agency - G7 in Manchester employer: Manchester Digital

The Driver and Vehicle Licensing Agency (DVLA) is an exceptional employer, offering a dynamic work environment in Swansea where innovation meets public service. As a Lead Data Engineer, you will not only lead impactful data projects but also benefit from a collaborative culture that prioritises employee growth through mentorship and the use of cutting-edge technologies. With a commitment to improving digital services at a national scale, DVLA provides a unique opportunity to make a meaningful difference while enjoying a supportive and forward-thinking workplace.

Manchester Digital

Contact Details:

Manchester Digital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer - Driver and Vehicle Licensing Agency - G7 in Manchester

Tip Number 1

Network like a pro! Reach out to folks in the data engineering space, especially those at DVLA or similar organisations. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got experience with Databricks, Spark, or any big data tech, make sure to highlight that in conversations. Share examples of how you've led projects or optimised data processes.

Tip Number 3

Prepare for technical interviews by brushing up on SQL and Python. We all know these are key skills for the role, so practice coding challenges and be ready to discuss your past projects in detail.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at DVLA.

We think you need these skills to ace Lead Data Engineer - Driver and Vehicle Licensing Agency - G7 in Manchester

Data Engineering
Data Pipeline Development
Data Modelling
SQL
Python
Big Data Technologies
Spark

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the Lead Data Engineer role. Highlight your experience with SQL, Python, and big data technologies like Spark and Databricks. We want to see how your skills align with what DVLA is looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to improving digital services at a national scale. Let us know what excites you about this role!

Showcase Your Leadership Skills:Since this is a lead role, don’t forget to mention any experience you have in mentoring teams or setting engineering standards. We love to see how you've driven best practices in your previous roles!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on the path to joining our team!

How to prepare for a job interview at Manchester Digital

Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks and Spark. Brush up on your SQL and Python skills, as you might be asked to solve problems or answer technical questions on the spot.

Showcase Your Leadership Skills

Since this is a Lead Data Engineer role, be prepared to discuss your experience in leading teams and projects. Share specific examples of how you've mentored others and set engineering standards in previous roles.

Understand the Business Impact

Demonstrate your understanding of how data engineering drives better decisions and insights. Be ready to talk about how your work has improved digital services or contributed to business intelligence in past positions.

Prepare for Collaboration Questions

This role involves working with product teams, analysts, and data scientists. Think of examples where you’ve successfully collaborated across teams, and be ready to discuss how you can enable data reuse and improve delivery in a cross-functional environment.