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: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Flexible roles available for various experience levels, with great career advancement potential.
- Why this job: Make a real impact on large-scale projects while working with cutting-edge technology.
- Qualifications: Experience as a Data Engineer with strong ETL/ELT skills and Agile teamwork.
The predicted salary is between 40000 - 50000 € per year.
Multiple roles · Mid-level 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 Engineers 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 and development in a supportive environment, our remote roles allow for flexibility while occasionally connecting with colleagues in the Midlands. Join us to contribute to meaningful projects within Central Government, where your expertise will directly impact the quality and reliability of data services.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineers
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work 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 and any cool data pipelines you've built. This will give potential employers a taste of what you can do and set 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 your experience with tools like Talend and cloud platforms like AWS. Confidence in your technical skills can really impress!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are eager to join our teams. Plus, it shows you're genuinely interested in working with us at Hanover.
We think you need these skills to ace Data Engineers
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 PostgreSQL. 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.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
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, or PostgreSQL, as these are key to the role. Having specific examples of how you've designed and built data pipelines will really help you stand out.
✨Showcase Your Agile Experience
Since the role involves working in Agile teams, be prepared to talk about your experiences in such environments. Share examples of how you've collaborated with team members of varying seniority and how you’ve contributed to successful project deliveries under pressure.
✨Demonstrate Problem-Solving Skills
Data engineering often involves troubleshooting and improving data quality. Think of a time when you faced a challenge in your work and how you resolved it. This will show your potential employer that you can handle real-world issues effectively.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data practices or the specific projects you'll be working on. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you.
