At a Glance
- Tasks: Design and build scalable data pipelines in a modern cloud environment.
- Company: Join Hanover, supporting Central Government with innovative data solutions.
- Benefits: Competitive daily rate, hybrid work model, and long-term project opportunities.
- Other info: Dynamic Agile teams with opportunities for knowledge sharing and career growth.
- Why this job: Make a real impact on large-scale projects while developing your skills.
- Qualifications: Experience as a Data Engineer with strong ETL/ELT and SQL skills.
Multiple roles available for Data Engineers — Contract, Mid-level & Senior, Hybrid (UK).
Rate: £450–£600 per day (Inside IR35, dependent on experience)
Duration: 6-month SOW initially; longer-term programme (2–3 years overall)
Location: Remote (UK-based) — occasional travel to the Midlands (up to 2 days/month)
Clearance: SC eligible required (UK residency)
Hanover are building two data engineering teams to support a large-scale, long-running programme within Central Government.
This role centres around designing and building data pipelines in a modern cloud environment, embedded within multi-disciplinary Agile teams. There are both mid-level, senior and lead positions available, so we're open to a range of experience levels.
What you'll be doing:
- Designing, building and maintaining scalable ETL/ELT data pipelines
- Working with structured data sources to support analytics and downstream services
- Collaborating within Agile delivery teams alongside engineers of mixed seniority
- Improving data quality, performance and reliability
- Contributing to knowledge sharing and good engineering practice across teams
What we're looking for:
- Strong background as a Data Engineer in complex, delivery-led environments
- Solid ETL/ELT experience — Talend is highly desirable
- Experience with one or more of: AWS, Oracle, PL/SQL, PostgreSQL
- Strong SQL and data modelling fundamentals
- Comfortable working in Agile teams with real delivery pressure
Nice to have:
- Central or wider public sector experience
- Exposure to large-scale or regulated data environments
Data Engineer (AWS) · Hybrid Remote employer: Hanover
At Hanover, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within our hybrid remote setup. Our commitment to employee growth is evident through diverse opportunities for skill enhancement and career progression, particularly in the exciting field of data engineering for Central Government projects. With competitive rates and the flexibility of remote work, alongside occasional travel to the Midlands, we ensure our team members enjoy a fulfilling and rewarding work experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AWS) · Hybrid Remote
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS or in Agile teams. A friendly chat can lead to insider info on job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects, especially if you've worked with Talend or AWS. This gives potential employers a clear view of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling fundamentals. Be ready to discuss how you've improved data quality and performance in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer (AWS) · Hybrid Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL/ELT processes and any relevant tools like Talend, AWS, or SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've designed and built data pipelines. We love seeing real examples of your work, especially in Agile environments. This helps us understand your hands-on experience and problem-solving skills.
Keep It Clear and Concise:When writing your application, be clear and concise. Use bullet points for easy reading and avoid jargon unless it's relevant. We appreciate straightforward communication that gets to the point!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Hanover
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with designing and building ETL/ELT data pipelines. Brush up on your knowledge of tools like Talend, as well as your experience with AWS and SQL. Be ready to share specific examples of how you've improved data quality and performance in past projects.
✨Show Your Agile Spirit
Since the role involves working within Agile teams, be prepared to discuss your experience in Agile environments. Think of examples where you've collaborated with team members of varying seniority and how you contributed to the team's success under delivery pressure.
✨Highlight Your Problem-Solving Skills
Data engineering often involves tackling complex challenges. Prepare to discuss specific problems you've faced in previous roles and how you approached solving them. This will demonstrate your analytical thinking and ability to work under pressure.
✨Research the Company and Sector
Familiarise yourself with Hanover and their work within Central Government. Understanding the context of the public sector and any relevant regulations will show your interest in the role and help you connect your experience to their needs.
