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- Tasks: Build and support innovative data products on a modern platform.
- Company: Join a forward-thinking company that values collaboration and diversity.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by working with cutting-edge data technologies and AI.
- Qualifications: Strong experience in cloud data platforms and Python programming.
- Other info: Diverse and inclusive workplace with guaranteed interviews for applicants with disabilities.
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 & Experience
- Passion for building scalable, resilient cloud data platforms
- Strong experience with Databricks or Snowflake on AWS
- Proven Python skills, including Spark and Airflow expertise
- Advanced SQL skills and end‐to‐end data modelling experience
- Experience building batch and real‐time data integrations
- Hands‐on CICD skills with Git, Jenkins or similar
- Ability to ingest, cleanse and structure large, diverse datasets
- Knowledge of Terraform or similar IaC tools
- Experience with Docker and Kubernetes is beneficial
- Exposure to production Generative AI is an advantage
- Strong collaboration skills and a proactive attitude
We support a diverse and inclusive workplace. As a Disability Confident Leader, we provide fair access to support and adjustments throughout recruitment. We guarantee an interview for applicants with a disability who meet the minimum criteria for the role.
Senior Data Engineer employer: Ageas UK
Contact Detail:
Ageas UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Databricks, Snowflake, and Python. We want to see how you tackle real-world problems!
✨Tip Number 3
Show off your collaborative spirit! Be ready to share examples of how you've worked in agile teams. We love seeing candidates who thrive in a team environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re all about making the process smooth and straightforward for you.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with Databricks, Snowflake, and any relevant cloud platforms to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building scalable data platforms. Share specific examples of your work with Python, Spark, or any cool projects you've tackled in the past.
Show Off Your Collaboration Skills: We love teamwork! In your application, mention how you've worked with engineers, scientists, or product teams in the past. Give us a glimpse of your proactive attitude and how you contribute to a positive team environment.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Ageas UK
✨Know Your Data Tools
Make sure you brush up on your experience with Databricks, Snowflake, and AWS. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Prepare to demonstrate your Python skills, especially with Spark and Airflow. You might be asked to solve a coding problem or explain your thought process, so practice articulating your approach clearly.
✨Understand the Bigger Picture
Familiarise yourself with the company's data products and how they integrate into the overall business strategy. This will help you answer questions about how you can contribute to their goals and improve engineering processes.
✨Emphasise Collaboration
Since the role involves working in multi-functional agile squads, be ready to share examples of how you've successfully collaborated with engineers, scientists, and product teams in the past. Highlight your proactive attitude and teamwork skills.