At a Glance
- Tasks: Build smart data and AI solutions with a talented team.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Flexible working, generous holiday, health support, and tech deals.
- Other info: Inclusive workplace with excellent career growth and support for all.
- Why this job: Make an impact by solving real business challenges with cutting-edge technology.
- Qualifications: Experience with cloud platforms, Python, and strong teamwork skills.
The predicted salary is between 55000 - 70000 € per year.
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.
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.
- Bring together data from different systems while ensuring 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.
Qualifications & 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 provides flexibility around location within the UK and within the working day to manage commitments. All vacancies are available part-time or job-share.
- Minimum 35 days holiday (including bank holidays) with the option to 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 e-sure 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.
- Supporting you and your Family: Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter 8 weeks’ full pay.
- Benefits for Them: Partner Life Assurance and Critical Illness cover.
- Get some Tech-Deals: Deals on 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.
Inclusion and Equal Opportunity
We are an inclusive employer. We encourage anyone to apply. We’re a signatory of the Race at Work Charter, Women in Finance Charter, and members of iCAN and GAIN. As a Disability Confident Leader, we are committed to ensuring our recruitment processes are fully inclusive. If the support you need is not listed, please contact our Recruitment Team to discuss adjustments. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role.
Analytical Engineer in Reigate employer: Ageas UK
Join a forward-thinking company in Reigate as an Analytical Engineer, where you will collaborate with diverse teams to create innovative data and AI solutions. Enjoy a flexible working environment that prioritises your well-being with generous holiday allowances, comprehensive health support, and numerous employee benefits. With a strong commitment to inclusion and professional growth, this is an excellent opportunity for those seeking meaningful and rewarding employment in a dynamic setting.
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 your field, especially those already working as Analytical Engineers. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud data platforms or AI solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines, ETL processes, and tools like Python and SQL. Practising your responses will help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
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 any relevant projects you've worked on. We want to see how your skills align with 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 scalable data platforms and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples of how you've tackled data challenges in the past. We’re all about solving problems here at StudySmarter, so let us know how you’ve done it before!
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 our awesome team!
How to prepare for a job interview at Ageas UK
✨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 in building scalable data platforms.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. 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 this role involves working closely with various teams, practice explaining technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to bridge the gap between technical and business needs.
✨Stay Current
Keep yourself updated on the latest trends and technologies in data engineering and AI. Be prepared to share your thoughts on new tools or methodologies that could improve the platform or processes, showing your commitment to continuous learning and improvement.
