At a Glance
- Tasks: Design and build scalable data pipelines in a modern cloud environment.
- Company: Join Hanover, a leader in data engineering for Central Government projects.
- Benefits: Competitive daily rate, hybrid work model, and long-term contract opportunities.
- Other info: Opportunity for career growth in a dynamic, Agile environment.
- Why this job: Make a real impact on large-scale data projects while collaborating with diverse teams.
- Qualifications: Experience as a Data Engineer with strong ETL/ELT skills and SQL fundamentals.
Data Engineers — Contract Multiple roles · 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) Data Engineering · · 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 data engineering teams. With opportunities for professional growth in a supportive environment, employees can thrive while contributing to impactful projects in the public sector. Our hybrid working model allows for flexibility, complemented by occasional travel to the Midlands, ensuring a balanced work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AWS) Data Engineering · · 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 about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ETL/ELT projects, especially if you've worked with Talend or AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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) Data Engineering · · 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 Engineering Basics
Make sure you brush up on your ETL/ELT processes and data modelling fundamentals. Be ready to discuss your experience with tools like Talend, AWS, and SQL. The interviewer will likely want to see how well you understand the core concepts of data engineering.
✨Showcase Your Agile Experience
Since this role involves working in Agile teams, be prepared to share specific examples of how you've collaborated within such environments. Talk about your contributions to team projects and how you handle delivery pressure, as this will demonstrate your adaptability and teamwork skills.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of data pipelines and cloud environments. Practice explaining your past projects, focusing on the challenges you faced and how you overcame them. This will show your problem-solving abilities and technical expertise.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team structure, the types of projects you'll be working on, or how they measure success in their data engineering efforts. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
