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For Companies At a Glance
- Tasks: Build and support innovative data products while collaborating with engineers and scientists.
- Company: Join a forward-thinking company focused on modern data solutions.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- Why this job: Make an impact by working with cutting-edge data technologies and improving engineering processes.
- Qualifications: Experience in data engineering and a passion for collaboration in agile teams.
The predicted salary is between 54000 - 81000 £ per year.
Target Start Date: 20th June 2026
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: £54,000 - £81,000
Location: Eastleigh and Reigate
Closing Date for applications: 18th April
Responsibilities
- Build and support data products within our modern data platform
- Design and deliver solutions with engineers, scientists and product teams
- Develop and optimise data pipelines across the analytics platform
- Integrate data from varied sources with strong quality standards
- Maintain orchestration, monitoring and performance of data components
- Improve engineering processes across the wider data community
- Promote high coding and data practice standards
- Experiment with emerging data, ML and AI technologies
- Partner with architects on data product designs
- Work collaboratively in multi-functional agile squads
- Support ML and GenAI infrastructure and workflows
Qualifications
Senior Data Engineer in Hampshire employer: Ageas UK
Contact Detail:
Ageas UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Hampshire
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data products and projects. We all love a good visual, so make sure to highlight your best work and the impact it had on previous teams.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data pipelines and ML technologies. We recommend practicing common interview questions with a friend or using mock interview platforms.
✨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 genuinely interested in joining our team!
We think you need these skills to ace Senior Data Engineer in Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data products, pipelines, and any relevant technologies. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention any tools, languages, or frameworks you’ve worked with that are relevant to building and optimising data pipelines. We love seeing your expertise in action!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Ageas UK
✨Know Your Data Inside Out
As a Senior Data Engineer, you’ll be expected to have a solid grasp of data products and pipelines. Brush up on your knowledge of data integration techniques and be ready to discuss how you've optimised data flows in previous roles. This will show that you can hit the ground running.
✨Showcase Your Collaboration Skills
Since the role involves working with engineers, scientists, and product teams, be prepared to share examples of successful collaborations. Highlight any experiences where you’ve worked in agile squads or cross-functional teams, as this will demonstrate your ability to thrive in a team environment.
✨Be Ready to Discuss Emerging Technologies
The job mentions experimenting with ML and AI technologies, so make sure you’re up to date with the latest trends in these areas. Bring examples of how you’ve applied new technologies in your work, and be ready to discuss their potential impact on data engineering.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data platform, engineering processes, and how they support ML and GenAI workflows. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.