At a Glance
- Tasks: Develop efficient data solutions and ensure product stability for millions of users.
- Company: Join the UK's largest public service department, making a real difference in people's lives.
- Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace, with guaranteed interviews for disabled candidates.
- Why this job: Be part of a team that drives innovation and supports vulnerable communities.
- Qualifications: Experience with SAS, SQL, and Agile methodologies required.
The predicted salary is between 40000 - 50000 £ per year.
On behalf of DWP we are looking for a Data Engineer for a 12 month (Inside IR35) contract. Hybrid working with 3 days per week in either Blackpool, Birmingham, Leeds, Manchester, Sheffield or Newcastle.
The Department for Work and Pensions (DWP) is responsible for welfare, pensions, and child maintenance policy. As the UK's biggest public service department, it administers the State Pension and a range of working age, disability and ill health benefits to around 20 million claimants and customers. As such, we operate on a scale that is almost unmatched anywhere in Europe and most people in Britain come into contact with us at some point in their lives.
Working with DWP, you will be helping us to drive our priorities to:
- Help people to move into work and support those already in work to progress, with the aim of increasing overall workforce participation.
- Help people to plan and save for later life, while providing a safety net for those who need it now.
- Provide effective, efficient, and innovative services to the millions of claimants who rely on us every day, including the most vulnerable in society.
- Improve experience of our services while maximising value for money for the taxpayer.
As a Data Engineer you will be responsible for developing accurate, efficient data solutions which meet customer needs to agreed timescales. You will ensure the stability, robustness and resilience of the products you design and build and can effect changes to those products where necessary. You will support continuous improvement of standards and provide leadership to develop Associate Data Engineers, providing technical guidance alongside other data engineering functions for customers.
As a Data Engineer your main responsibilities will be to:
- Translate business requirements to ensure they are clear and robust and can be transformed into reusable production ready code and/or effective data models.
- Define version control mechanisms and strategies for the source code of products.
- Support Quality Assurance colleagues and Data Managers responsible for the day-to-day testing and live running of data products and services.
- Shape solutions in a fit for purpose way; following the agreed principles and contribute to the overall Data Engineer Development life cycle.
- Perform data profiling and quality measurements.
- Design and develop reusable metadata libraries.
- Own the stability of new products designed, including the on-going robustness, resilience and stability of these products.
- Identifying, managing and resolving issues preventing the delivery or continuous development of products.
Essential:
- An active SC Clearance is an essential requirement for this role, as a minimum you must be willing & eligible to undergo checks.
- Hands-on experience with SAS in a data engineering or analytics context.
- Strong proficiency in SQL for data querying and transformation.
- Previous experience working in Agile delivery teams.
- Demonstrated, well-rounded experience across data engineering disciplines.
Please be aware that this role can only be worked within the UK and not Overseas.
Disability Confident
As a member of the Disability Confident Scheme, DWP guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply.
Armed Forces Covenant
DWP guarantees to interview veterans or spouses/partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex-military candidates/military spouses or partners, who meet all the essential criteria, we will interview the best candidates from within that group.
In applying for this role, you acknowledge the following: this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different.
Data Engineer employer: Alexander Mann Solutions - Public Sector Resourcing
Contact Detail:
Alexander Mann Solutions - Public Sector Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might have insights into DWP. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and SAS skills. DWP is looking for hands-on experience, so be ready to showcase your technical prowess with real-world examples during the chat.
✨Tip Number 3
Don’t forget to highlight your Agile experience! DWP values teamwork and adaptability, so share how you’ve thrived in Agile environments and contributed to successful projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re here to support you every step of the way, so don’t hesitate to reach out if you need help.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data engineering, especially with SAS and SQL. We want to see how your skills align with the specific needs of DWP, so don’t hold back on showcasing relevant projects!
Showcase Your Agile Experience: Since this role involves working in Agile delivery teams, it’s a good idea to mention any past experiences you have in Agile environments. We love seeing how you’ve contributed to team success and adapted to changing requirements.
Highlight Your Problem-Solving Skills: As a Data Engineer, you'll need to identify and resolve issues quickly. Use your application to share examples of challenges you've faced in previous roles and how you tackled them. This will show us your proactive approach and technical prowess!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Alexander Mann Solutions - Public Sector Resourcing
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around SQL and SAS. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Understand DWP's Mission
Familiarise yourself with the Department for Work and Pensions' goals and how your role as a Data Engineer fits into their mission. This will show your genuine interest in the position and help you articulate how you can contribute to their objectives.
✨Prepare for Agile Discussions
Since experience in Agile delivery teams is essential, be prepared to talk about your previous roles in Agile environments. Think of specific examples where you contributed to team success and how you adapted to changes during projects.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've identified and resolved issues in your previous work. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on how your solutions improved product stability and efficiency.