At a Glance
- Tasks: Build smart data and AI solutions with a talented team.
- Company: Join Ageas, a leading car and home insurer in the UK.
- Benefits: Enjoy flexible working, 35+ days holiday, and health support.
- Other info: Inclusive workplace with excellent career growth opportunities.
- Why this job: Make an impact by solving real business challenges with data.
- Qualifications: Experience with cloud platforms, Python, SQL, and teamwork skills.
The predicted salary is between 55000 - 70000 € per year.
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
We are looking for a talented Analytical Engineer to join our growing team. You will work with Data Engineers, Data Scientists, Developers, Analysts, and Architects to build smart data and AI solutions that help improve products and business decisions. This role is ideal for someone who enjoys solving problems, working with modern cloud technology, and building scalable data platforms.
Main Responsibilities as Analytical Engineer:
- Build and support data products on a modern cloud platform.
- Work with Product Managers and Data & AI teams to solve business and data challenges, including GenAI projects.
- Design and improve data pipelines, workflows, and platform tools.
- Bring together data from different systems while making sure data is accurate, secure, and reliable.
- Follow engineering standards and best practices to create consistent and reusable solutions.
- Support and mentor team members across the wider Data team.
- Work closely with agile teams to deliver data products that support machine learning and AI projects.
- Help business stakeholders understand technical solutions and project goals.
- Support data governance through testing, documentation, and quality checks.
- Keep up to date with new technologies and share ideas that improve the platform and ways of working.
Skills and experience you need as Analytical Engineer:
- Strong interest in building reliable and scalable data platforms.
- Experience working with large datasets from different sources.
- Good communication and teamwork skills.
- Experience with cloud data platforms such as Databricks or Snowflake on AWS.
- Strong skills in Python, PySpark, and SQL.
- Good understanding of ETL/ELT pipelines and data transformation.
- Experience with data modelling and database optimisation.
- Strong knowledge of DBT and SQL best practices.
- Experience using CI/CD and version control tools such as Git and Jenkins.
- Experience with orchestration tools such as Airflow.
- Knowledge of BI and visualisation platforms such as Tableau.
- A mindset focused on learning, improvement, and software engineering best practices.
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.
Analytical Engineer in Reigate employer: Ageas Insurance Limited
At Ageas, we pride ourselves on being a top employer in the UK, offering a flexible working environment that supports a healthy work-life balance. Our commitment to employee well-being is reflected in our extensive benefits package, including generous holiday allowances, health support initiatives, and opportunities for professional growth within a collaborative and innovative culture. Join us in Reigate as an Analytical Engineer and be part of a team that values creativity, inclusivity, and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Analytical Engineer in Reigate
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Ageas. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving cloud platforms and data pipelines. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Ace the interview by practising common questions related to data engineering and analytical roles. Think about how you can relate your past experiences to the responsibilities listed in the job description.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Ageas team.
We think you need these skills to ace Analytical Engineer in Reigate
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytical Engineer role. Highlight your experience with cloud data platforms, Python, and SQL. 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! Share your passion for building scalable data platforms and how you’ve tackled similar challenges in the past. Let us know why you’re excited about joining our team!
Showcase Your Teamwork Skills:We love collaboration at StudySmarter! In your application, mention any experiences where you worked closely with others, especially in agile teams. This will show us you’re a great fit for our culture.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Ageas Insurance Limited
✨Know Your Tech
Make sure you brush up on your knowledge of cloud data platforms like Databricks or Snowflake, as well as your skills in Python, PySpark, and SQL. Be ready to discuss how you've used these technologies in past projects, especially when it comes to building scalable data platforms.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific instances where you designed or improved data pipelines or workflows, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly
Since good communication is key for this role, practice explaining technical concepts in simple terms. You might need to help business stakeholders understand your solutions, so being able to break down complex ideas will set you apart.
✨Stay Current
Keep yourself updated with the latest trends and technologies in data engineering and AI. Be prepared to share your thoughts on new tools or methods that could improve the platform or processes at Ageas, showing your commitment to continuous learning and improvement.