At a Glance
- Tasks: Lead data engineering projects, mentor team members, and collaborate across departments.
- Company: Join DWP, the UK's largest government department, making a real impact on millions of lives.
- Benefits: Enjoy hybrid working, flexible hours, a generous pension, and 26+ days of holiday.
- Why this job: Be part of a high-performing team using cutting-edge tech to shape digital solutions for the UK.
- Qualifications: Experience with Python, SQL, and ETL pipelines; strong problem-solving skills required.
- Other info: Work in vibrant hubs across the UK and enjoy a culture that celebrates diversity.
The predicted salary is between 58800 - 73900 £ per year.
Pay up to £73,517, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work-life balance. Our DWP Data Engineers work in a high-performing team with engineers, architects, designers, and more. We offer guidance and support, developing data-centric solutions that positively impact millions of DWP users, helping them to find and use essential DWP services.
We are looking for a Senior Data Engineer to join our community of tech experts in DWP Digital. We are using 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.
You and your role: This role is all about leading from within, helping shape how DWP's Business Audit team approaches data engineering, without the need for a formal leadership title. You will be translating technical requirements into real, workable solutions, especially as we move through platform migrations and system upgrades. You will work closely with a team of data engineers, offering guidance, sharing ideas, and helping steer the direction of our work. Collaboration is a big part of the job, so you will be connecting with teams across Digital and the wider Data & Analytics space to keep things aligned and ensure we are all moving in the same direction.
There is a lot of variety in this role - you might be helping to redesign an ETL pipeline to boost performance or resilience, or you could be supporting a shift to a new data platform or architecture. You will be involved in big-picture thinking, like how we adopt modern tools and patterns, as well as the day-to-day work that keeps everything running smoothly. You will also play a key role in helping the team grow, mentoring others, encouraging best practices, and ensuring we are always learning and improving, as well as influencing how we work, what we prioritise, and how we deliver.
What skills, knowledge and experience will you need?
- Comfortable working with a range of programming languages like Python, SQL, and Proc SQL - with a particular focus on SAS, SAS Enterprise Guide, and Informatica.
- Skilled at digging into complex data and code to troubleshoot issues and ensure everything runs smoothly and accurately.
- Experienced in using industry standards and tools to design, build, test, and document programs and scripts - especially those that are a bit more involved or require iteration.
- Confident leading the development of ETL pipelines, even when dealing with large or complex datasets, and good at delegating tasks to keep things moving efficiently.
- Able to guide the team through in-depth data and code reviews to maintain high quality and quickly resolve any processing hiccups.
- Set clear standards for how we work with data and code, keep them current, and make sure the team sticks to them.
Details:
Location: You will join us in one of our brilliant digital hubs in Birmingham, Blackpool, Leeds, Manchester, Newcastle, or Sheffield, whichever is most convenient for you.
Hybrid Working: We work a hybrid model - you will spend some time working at home and some time collaborating face to face in a hub.
Pay: We offer competitive pay of up to £73,517.
Pension: You will get a brilliant civil service pension with employer contributions worth 28.97%.
Holidays: A generous leave package starting at 26 days and rising to 27 days after one year. You can also take up to 3 extra days off a month on flexi-time. You will also get all the usual public holidays.
We have a broad benefits package built around your work-life balance which includes:
- An award-winning environment and culture: Employer of the Year 2023 (Women In IT Awards), Founders Award for Outstanding Digital Leadership 2023 (Digital 100).
- Flexible working including flexible hours and flex-friendly policies.
- Time off volunteering and charitable giving.
- Bring your authentic self to work with 'I Can Be Me in DWP'.
- Discounts and savings on shopping, fun days out, and more.
- Interest-free loans to buy a bike or a season ticket, so it is even easier for you to get to work and start making a difference.
- Sports and social activities.
- Professional development, coaching, mentoring, and career progression opportunities.
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. There will be full instructions when you click through.
- Interview: a single stage interview online.
CLICK APPLY for more information and to start your application.
Senior Data Engineer employer: DWP Digital
Contact Detail:
DWP Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, SQL, and SAS. Being able to discuss your experience with these tools during the interview will show that you're a strong fit for the role.
✨Tip Number 2
Highlight your collaborative skills by preparing examples of how you've worked effectively in teams. Since this role involves connecting with various teams, demonstrating your ability to collaborate will be crucial.
✨Tip Number 3
Think about your approach to mentoring and guiding others. Be ready to share instances where you've helped colleagues improve their skills or processes, as this aligns with the expectations of the role.
✨Tip Number 4
Prepare to discuss your experience with ETL pipelines and any challenges you've faced in the past. This will help you illustrate your problem-solving abilities and technical expertise, which are key for this position.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Engineer role. Focus on your proficiency in programming languages like Python, SQL, and SAS, as well as your experience with ETL pipelines.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of DWP's mission. Mention specific projects or experiences that demonstrate your ability to lead and collaborate effectively within a team.
Highlight Problem-Solving Skills: In your application, emphasise your ability to troubleshoot complex data issues and your experience with industry standards and tools. Provide examples of how you've successfully resolved challenges in previous roles.
Showcase Leadership Qualities: Even though the role doesn't require a formal leadership title, illustrate your capacity to guide and mentor others. Share instances where you've influenced team practices or contributed to the growth of your colleagues.
How to prepare for a job interview at DWP Digital
✨Showcase Your Technical Skills
Make sure to highlight your experience with programming languages like Python, SQL, and SAS during the interview. Be prepared to discuss specific projects where you've successfully implemented ETL pipelines or resolved complex data issues.
✨Emphasise Collaboration
Since this role involves a lot of teamwork, be ready to share examples of how you've worked effectively with others in previous positions. Discuss how you’ve guided teams through challenges and contributed to a collaborative environment.
✨Demonstrate Problem-Solving Abilities
Prepare to talk about instances where you've tackled difficult data problems or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly illustrate your thought process.
✨Express Your Passion for Continuous Learning
DWP values growth and improvement, so convey your enthusiasm for mentoring others and staying updated with industry trends. Share any recent courses or certifications you've completed that relate to data engineering.