At a Glance
- Tasks: Join a dynamic team to build innovative data products and support AI services.
- Company: Ageas, a leading car and home insurer in the UK with a creative culture.
- Benefits: Flexible working, 35+ days holiday, health plans, and tech discounts.
- Other info: Inclusive employer with excellent career growth opportunities and a supportive environment.
- Why this job: Work with cutting-edge technologies and make a real impact in data engineering.
- Qualifications: Experience with Python, SQL, Databricks or Snowflake, and strong collaboration skills.
The predicted salary is between 40000 - 80000 £ per year.
We are currently seeking a number of Data Engineers, at various levels, to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business.
Experience with PySpark, Python, SQL and Databricks (or Snowflake) is required for these roles. It's a chance to work on a very modern tech stack and learn from an incredible team.
Main Responsibilities as Data Engineer:- 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
- 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
At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve Top Employer status in the UK.
Here are some of the benefits you can enjoy at Ageas:- Flexible Working - Smart Working @ Ageas gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days.
- Supporting your Health - Dental Insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness.
- Supporting your Wealth - 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
- Supporting you at Work - Well-being activities, mindfulness sessions, Sports and Social Club events and more.
- Supporting you and your Family - Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay.
- Benefits for Them - Partner Life Assurance and Critical Illness cover.
- Get some Tech - Deals on various gadgets including Wearables, Tablets and Laptops.
- Getting around - Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.
- Supporting you back to work - Return to work programme after maternity leave.
About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.
As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role.
We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism. Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Data Engineer & Senior Data Engineer in Reigate employer: Hays Technology
Join a dynamic technology team as an Application Engineer/Web Developer, where innovation meets collaboration in a fast-paced environment. Enjoy flexible working arrangements and an industry-leading benefits package, including a generous bonus and pension scheme, while contributing to the development of high-quality digital platforms. With ample opportunities for professional growth and a culture that promotes knowledge sharing and best practices, this role is perfect for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer & Senior Data Engineer in Reigate
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We think you need these skills to ace Data Engineer & Senior Data Engineer in Reigate
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
