At a Glance
- Tasks: Design and maintain data products for analytics and decision-making in Debt Solutions.
- Company: Join DWP, the UK's largest government department, making a real impact.
- Benefits: Competitive salary, generous leave, hybrid working, and a brilliant pension scheme.
- Other info: Be part of a diverse team with excellent career growth opportunities.
- Why this job: Shape the future of data while supporting millions of people across the UK.
- Qualifications: Experience in SQL, PySpark, AWS, and full stack development.
The predicted salary is between 63000 - 77000 £ per year.
We need a Data Engineer to join our Debt Solutions team and help shape the future of data at DWP. You'll need experience of SQL-based data transformation, ETL pipeline development, and building user-facing dashboards and reports.
Our DWP Digital teams use fresh ideas and leading-edge tech to build and maintain digital solutions that will be used by nearly every person in the UK, every day and at key moments in their lives. DWP is the UK's largest government department. We help people into work and make payments worth over £195bn a year to support and empower millions of people. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us.
What skills, knowledge and experience will you need?
- Experience developing and managing PySpark workflows within AWS environments.
- Knowledge of AWS Lambda and event-driven solutions to support automated data processing.
- Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools.
- Understanding of Agile ways of working and experience contributing to CI/CD delivery practices.
- Ability to optimise data processing, storage, and queries to improve performance and data quality.
- Experience designing and automating ETL pipelines using PySpark and Spark SQL.
- A strong full stack development background with technologies that include .NET 4,8, C#, JavaScript, C++ and Java.
You and your role
As a Data Engineer in DWP Digital, you'll design, build and maintain data products that support analytics, business intelligence and operational decision-making across Debt Solutions. Working as part of a multidisciplinary agile team, you'll help transform critical business data into trusted insights, supporting systems that recover around £3 billion of debt annually while protecting vulnerable citizens.
You will develop and operate ETL pipelines in cloud-based environments, integrating data from a variety of source systems and transforming it into meaningful, trusted information. Using SQL and modern data engineering practices, you'll create reusable, production-ready solutions that enable colleagues and stakeholders to gain valuable insights from data. Working with senior colleagues, you'll help develop user-facing dashboards and reports that provide accessible, accurate information to customers and stakeholders.
This is an excellent opportunity to join a team modernising long-established MI and data services through a new cloud-powered platform. You'll also be part of a collaborative data community, and work with experienced colleagues to share expertise and contribute to innovative solutions that deliver impact at national scale.
Details
Hybrid Working: We work a hybrid model - you'll spend some time working at home (40%) and some time collaborating face to face in a hub (60%).
Pay: We offer competitive pay for this role of £38,772.
Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth over £11,232 per year.
Holidays: A generous leave package starting at 24 days rising to 26 days after one year (and 31 days over time). You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays.
We have a broad benefits package built around your work-life balance which includes:
- Time off volunteering and charitable giving
- Discounts and savings on shopping, fun days out and more
- Interest-free loans to buy a bike or a season ticket
- Professional development, coaching, mentoring and career progression opportunities.
And we have an award-winning environment and culture:
- DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards
- Diverse and Inclusive Leadership at Digital Leaders Awards 2024
- Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025
- Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards
Process: We know your time is valuable, so our application and selection process is just two stages:
- Apply: complete your application on Civil Service Jobs.
- Interview: A single stage interview online.
CLICK APPLY for more information and to start your application.
Data Engineer Level I in Bolton employer: DWP Digital
DWP Digital is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Leeds. With a competitive starting salary of £70,000 and a comprehensive benefits package, including a civil service pension, employees enjoy flexibility through a hybrid working model, allowing for a healthy work-life balance. The company prioritises employee growth, providing ample opportunities for professional development while working with cutting-edge technologies like VXLAN and next-generation firewalls.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Level I in Bolton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like DWP Digital!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer Level I at DWP Digital.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like DWP Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer Level I at DWP Digital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer Level I in Bolton
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at DWP Digital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DWP Digital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at DWP Digital
✨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!
✨Showcase Your Projects
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!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DWP Digital!
✨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.
