At a Glance
- Tasks: Lead a team to build scalable data flows and analytical tools.
- Company: Join the Ministry of Justice's innovative Justice Digital, Data and Science unit.
- Benefits: Enjoy generous leave, a £1k learning budget, and a strong pension contribution.
- Other info: Flexible working options and a focus on personal development.
- Why this job: Make a real impact in data engineering while developing your leadership skills.
- Qualifications: Experience in designing data pipelines and leading technical teams required.
The predicted salary is between 63000 - 77000 £ per year.
This Lead Data Engineer post sits in Justice Data at the Ministry of Justice's Justice Digital, Data and Science unit.
The work centres on leading data engineers who build automated, scalable data flows linking operational systems to analytics, plus pipelines and self-service tools for the Analytical Platform.
Distinct features include line management of junior colleagues, championing data engineering across the department, and cloud delivery on AWS.
Security clearance is required, and eligibility is limited to existing Civil Service and accredited NDPB staff.
- What the job involves
- Lead a team of data engineers building robust, scalable automated data flows across operational, analytics and BI systems
- Develop analytical pipelines and self-service tools to acquire and transform data for the Analytical Platform
- Collaborate with stakeholders to understand needs and set project goals and deliverables
- Apply systems integration knowledge to the team's work
- Use AWS services to deploy solutions in a reproducible, sustainable way
- Create and promote best practice within the team and wider
- Champion data engineering across the department and beyond
- Line manage more junior colleagues
- Support Analytical Platform users to use data and tools
- Lead and organise team building and development initiatives
- Update and maintain technical documentation
- Keep up to date with engineering trends and best practice
- What’s required
Experience
- Designing and building data pipelines that bring complex data sources together
- Leading and setting technical direction for a team and developing others' capability
Skills & knowledge
- Strong proficiency in one or more programming languages, ideally Python and SQL
- Understanding of the software development lifecycle, including testing, version control and CI/CD
- Communicating with technical and non-technical stakeholders and managing their expectations
- Checks & eligibility
- Willingness to be assessed against SC clearance requirements
- Existing Civil Service or accredited NDPB employee appointed on merit
- Eligible under Civil Service nationality rules
- Other
- Demonstrable passion for data engineering
- What’s offered
- Employer pension contribution of 28.97% through the Civil Service Pension Scheme
- 25 days' annual leave rising to 30 after five years, plus 8 bank holidays and a privilege day
- Hybrid, part-time or compressed hours working
- 10% of working time for personal and professional development
- £1k learning budget per person
- Maternity, adoption and shared parental leave, with full pay for up to 26 weeks
- Flexible benefits, retail vouchers and discounts
- Free annual sight tests for screen users
- #J-18808-Ljbffr
23533 - Lead Data Engineer employer: Ministry of Justice
The Ministry of Justice is an exceptional employer, dedicated to transforming lives through education and vocational training. With a strong emphasis on supportive relationships and personal development, employees benefit from a collaborative work culture that prioritises safety and security while offering opportunities for professional growth and meaningful impact in the community. Working in this role not only allows you to make a difference but also provides a unique chance to contribute to the rehabilitation and resettlement of individuals in a dynamic environment.
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We think you need these skills to ace 23533 - Lead Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Ministry of Justice
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
