At a Glance
- Tasks: Join a dynamic team to build innovative data products and optimise data pipelines.
- Company: Ageas, a leading car and home insurer in the UK, known for its inclusive culture.
- Benefits: Enjoy flexible working, 35+ days holiday, health support, and tech discounts.
- Other info: Flexible roles available, including part-time and job shares, with excellent career growth opportunities.
- Why this job: Make an impact with cutting-edge AI and data technologies while collaborating with talented professionals.
- Qualifications: Strong experience in cloud data platforms, Python, SQL, and data integration.
The predicted salary is between 60000 - 80000 £ per year.
We are currently recruiting for a Senior Data Engineer 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.
Main Responsibilities as the Senior 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
Skills and experience you need as the Senior Data Engineer:
- 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.
Want to be part of a Winning Team? Come and join Ageas. Click on the ‘Apply button’ to be considered.
Senior Data Engineer in Eastleigh employer: esure Group
Contact Detail:
esure Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Eastleigh
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Get your hands dirty with some real-world projects. Whether it’s contributing to open-source or building your own data pipelines, showcasing your skills through practical work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss your past projects in detail.
✨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 Senior Data Engineer in Eastleigh
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data engineering shine through! We want to see that you’re genuinely excited about building scalable cloud data platforms and working with cutting-edge technologies.
Tailor Your Experience: Make sure to highlight your relevant experience with Databricks, Snowflake, and Python. We love seeing how your skills align with our needs, so don’t be shy about showcasing your expertise in data pipelines and integrations!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and skills are easy to spot. Use bullet points if it helps to break down your experience!
Apply Through Our Website: Remember, the best way to apply is through our official website. It ensures your application gets to us directly and helps you avoid any recruitment scams. We can’t wait to see what you bring to the table!
How to prepare for a job interview at esure Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks, Snowflake, and Python. Brush up on your Spark and Airflow skills, as these will likely come up during technical discussions.
✨Showcase Your Collaboration Skills
Since the role involves working with multi-functional teams, be prepared to discuss past experiences where you successfully collaborated with engineers, scientists, or product teams. Highlight how you contributed to team success and improved processes.
✨Prepare for Real-World Scenarios
Expect to tackle real-world data challenges during the interview. Think about how you would design and optimise data pipelines or integrate diverse datasets. Practising these scenarios can help you articulate your thought process clearly.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s data practices, the team culture, or upcoming projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.