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For Companies At a Glance
- Tasks: Join a dynamic team to design and build innovative data products and AI services.
- Company: Ageas, a leading car and home insurer in the UK, fostering creativity and innovation.
- Benefits: Enjoy flexible working, 35+ days holiday, health support, and competitive salary packages.
- Other info: Inclusive workplace with excellent career growth and well-being activities.
- Why this job: Make a real impact with cutting-edge 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'll design and build modern machine learning and AI services that support analytics and improve products across the business.
Main 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
Skills and 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
Benefits
- 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.
- 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.
Equal Opportunity
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.
Harassment Policy
We have a zero‑tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.
Flexible Working Policy
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.
Senior Data Engineer employer: esure Group
Contact Detail:
esure Group 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 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
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, Snowflake, or any cool machine learning stuff you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with data pipelines and integrations, as well as any hands-on CICD work you've done. Confidence is key!
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in Python, Databricks, and any relevant data engineering projects you've worked on. We want to see how you can contribute to our innovative Data team!
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 your background aligns with our mission at StudySmarter. Don't forget to mention your collaborative spirit and any experience with machine learning or AI technologies.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to include them in your application. Whether it's building data pipelines or experimenting with new technologies, we love seeing real-world examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, you can ensure all your details are captured correctly, and it helps us keep track of your application. Plus, it shows you're keen on joining our team!
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 SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Collaboration Skills
Since this role involves working with a diverse team, prepare examples that highlight your collaboration experience. Think of times when you’ve successfully partnered with engineers, scientists, or product teams to deliver data solutions.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to design and optimise data pipelines. Be ready to walk through your thought process on how you would tackle specific challenges related to data integration and quality standards.
✨Demonstrate Your Passion for Innovation
This role is all about building modern data products, so share your enthusiasm for emerging technologies in data, ML, and AI. Discuss any personal projects or experiments you've undertaken that showcase your proactive attitude towards learning and innovation.