Lead Data Engineer - Driver and Vehicle Licensing Agency - G7

Lead Data Engineer - Driver and Vehicle Licensing Agency - G7

Full-Time 50000 - 60000 € / year (est.) No home office possible
Government Digital & Data

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 standards.
  • Why this job: Make a real difference with modern tech in a high-impact role.
  • Qualifications: Experience in data engineering, strong SQL and Python skills required.

The predicted salary is between 50000 - 60000 € 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

Interested? This partner post gives you the overview. Click through to the full Civil Service Jobs advert to see full details and apply.

Lead Data Engineer - Driver and Vehicle Licensing Agency - G7 employer: Government Digital & Data

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'll have the opportunity to lead impactful data projects using cutting-edge technologies while collaborating with talented professionals dedicated to enhancing digital services on a national scale. With a strong focus on employee growth, best practices, and a supportive culture, DVLA is committed to fostering your career in data engineering.

Government Digital & Data

Contact Detail:

Government Digital & Data Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the data engineering field, especially those at DVLA. 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 SQL, Python, or big data tech like Spark and Databricks, make sure to highlight these in conversations. We want to see how you can lead and innovate!

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of data pipelines and best practices. We love candidates who can discuss their approach to building robust data models and optimising performance.

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 serious about joining our team at DVLA.

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

Data Engineering
Data Pipeline Design
Data Product Development
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!

Showcase Your Projects:Include specific examples of data pipelines or products you've led. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes and the impact they had!

Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points where possible and avoid jargon unless it's relevant. We appreciate clarity, and it helps us see your qualifications quickly!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need to make your application shine!

How to prepare for a job interview at Government Digital & Data

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 discuss your experience with these tools during the interview.

Showcase Your Leadership Skills

Since this is a Lead Data Engineer role, be prepared to talk about your experience leading teams and projects. Share specific examples of how you've mentored others and set engineering standards, as this will demonstrate your capability to lead within the DVLA's data platform team.

Understand the Bigger Picture

Familiarise yourself with the DVLA’s mission and how data engineering plays a crucial role in improving digital services. Being able to articulate how your work can impact decision-making and service delivery will show that you’re aligned with their goals.

Prepare for Collaboration Questions

Expect questions about working with product teams, analysts, and data scientists. Think of examples where you’ve successfully collaborated across teams to deliver data solutions, as this role requires strong teamwork to drive best practices and improve delivery.