At a Glance
- Tasks: Build and support innovative data products on a modern cloud platform.
- Company: Join Ageas, a forward-thinking company with a focus on inclusivity and collaboration.
- Benefits: Enjoy flexible working, 35 days holiday, health support, and financial perks.
- Other info: Great career growth opportunities in a dynamic and supportive environment.
- Why this job: Make an impact in the world of data while working on exciting GenAI projects.
- Qualifications: Experience with cloud platforms, Python, SQL, and a passion for data engineering.
The predicted salary is between 55000 - 70000 € per year.
Target Start Date: ASAP
Contract Type: Permanent
Salary Range: £55,000 - £70,000
Location: Reigate - Hybrid
Closing Date for Applications: 26th May
Responsibilities:
- 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.
- Integrate data from different systems while ensuring data accuracy, security, and reliability.
- Follow engineering standards and best practices to create consistent and reusable solutions.
- Support and mentor team members across the wider Data team.
- Collaborate 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:
- 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.
Benefits:
- Flexible working: Smart Working @ Ageas with location flexibility within the UK, work‑day flexibility, part‑time, and job‑share options; 35 days holiday (inc. bank holidays) with buy‑and‑sell days.
- Health support: Dental insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness cover, Mental Health First Aiders, and mindful well‑being activities.
- Financial benefits: 50% off esure and Sheilas’ Wheels motor and home insurance, annual bonus schemes, annual salary reviews, competitive pension, employee savings, and employee loans.
- Well‑being: Well‑being activities, mindfulness sessions, sports and social club events.
- Family support: Maternity/parental leave up to 16 weeks at full pay, paternity/partner leave 8 weeks at full pay.
- Additional: Partner Life Assurance and Critical Illness cover, technology discounts on wearables, tablets, laptops; car salary exchange, cycle scheme, vehicle breakdown cover. Return‑to‑work programmes after maternity leave.
Ageas is an inclusive employer and encourages applications from all backgrounds. We are a signatory of the Race at Work Charter and Women in Finance Charter, and a member of iCAN and GAIN.
Analytical Engineer in Reigate employer: Ageas
Ageas is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible working environment in Reigate. With a commitment to inclusivity and a range of benefits including extensive health support, generous holiday allowances, and opportunities for career development, Ageas fosters a collaborative culture where innovation thrives. Join us to be part of a forward-thinking team dedicated to building reliable data solutions while enjoying a supportive work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Analytical Engineer in Reigate
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Python, SQL, or cloud platforms like Databricks. This will give you an edge and demonstrate your hands-on experience.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific projects you've worked on. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest roles and updates there.
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! Use it to explain why you're passionate about building reliable data platforms and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any cool projects involving data pipelines or machine learning, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining the StudySmarter family!
How to prepare for a job interview at Ageas
✨Know Your Data Platforms
Make sure you brush up on your knowledge of cloud data platforms like Databricks and Snowflake. Be ready to discuss how you've used these tools in past projects, especially in relation to building reliable and scalable data platforms.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, PySpark, and SQL. You might be asked to solve a problem or explain a project where you utilised these skills, so have some examples ready that highlight your experience with ETL/ELT pipelines and data transformation.
✨Communicate Clearly
Since good communication is key for this role, practice explaining complex technical concepts in simple terms. Think about how you would help business stakeholders understand your solutions and project goals, as this will likely come up during the interview.
✨Stay Updated and Share Ideas
Demonstrate your passion for learning by discussing recent technologies or trends in data engineering that excite you. Be prepared to share ideas on how you could improve the platform and ways of working, showing that you're proactive and engaged in your field.
