At a Glance
- Tasks: Build and support innovative data products on a modern cloud platform.
- Company: Join Ageas, a top employer in the UK with a focus on inclusivity.
- Benefits: Enjoy flexible working, 35+ days holiday, health support, and tech discounts.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make an impact by solving real business challenges with cutting-edge data solutions.
- Qualifications: Experience with cloud platforms, Python, SQL, 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.
Main 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 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:
- 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 gives employees flexibility around location and working hours.
- Minimum of 35 days holiday (including bank holidays) with options to buy and sell days.
- Health benefits including Dental Insurance, Health Cash Plan, and Well Being Activities.
- Financial benefits such as Annual Bonus Schemes, Competitive Pension, and Employee Savings.
- Well-being activities, mindfulness sessions, and Sports and Social Club events.
- Maternity and paternity leave entitlements at full pay.
- Partner Life Assurance and Critical Illness cover.
- Deals on various gadgets including Wearables, Tablets, and Laptops.
- Car Salary Exchange and Cycle Scheme.
- Return to work programme after maternity leave.
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.
Analytical Engineer in Banstead employer: Ageas
At Ageas, we pride ourselves on being a top employer in the UK, offering a flexible working environment that allows our Analytical Engineers to thrive both professionally and personally. With a strong focus on employee well-being, competitive benefits, and opportunities for growth within a collaborative team, we empower our staff to innovate and excel in their roles while enjoying a healthy work-life balance in the vibrant town of Reigate.
StudySmarter Expert Advice🤫
We think this is how you could land Analytical Engineer in Banstead
✨Get Involved in Data Science Meetups
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytical Engineer at Ageas.
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We think you need these skills to ace Analytical Engineer in Banstead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ageas, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ageas. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ageas
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ageas!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
