At a Glance
- Tasks: Transform complex data into powerful insights and innovative solutions.
- Company: Join Ageas, a leading car and home insurer in the UK.
- Benefits: Enjoy flexible working, competitive salary, and extensive health benefits.
- Other info: Collaborative environment with excellent career growth opportunities.
- Why this job: Make a real impact by building scalable, high-performance data products.
- Qualifications: Experience with cloud data platforms and strong programming skills required.
The predicted salary is between 60750 - 74250 £ per year.
Are you passionate about turning complex data into powerful insights and innovative solutions? At esure, we’re looking for an Analytical Engineer to join our growing data & AI function and play a pivotal role in shaping the future of our data platform.
You’ll be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, your work will directly influence how we harness data to drive smarter decisions and better customer outcomes.
This is a fantastic opportunity for someone who thrives in a collaborative, agile environment and is excited by the challenge of building scalable, high-performance data products using modern cloud technologies.
Main Responsibilities:
- Design, build and maintain scalable data products within esure’s industry-leading data platform
- Develop and optimise data pipelines, ensuring high-quality, reliable and accessible datasets for analytics and AI use cases
- Collaborate with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications
- Integrate and transform data from multiple sources, ensuring adherence to data quality, governance and technical standards
- Contribute to the continuous improvement of analytics engineering processes, tools and best practices across the wider data community
Skills and experience required:
- Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments
- Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation
- Proven experience in data modelling (end-to-end), including performance optimisation using tools such as DBT and distributed processing frameworks like SparkSQL
- Experience with CI/CD, version control (e.g. Git, Jenkins) and pipeline orchestration tools such as Airflow
- A collaborative mindset with excellent interpersonal skills, and a passion for building robust, scalable data platforms
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.
Benefits include:
- Flexible Working - Smart Working @ Ageas gives employees flexibility around location and within the working day to manage other commitments.
- Minimum of 35 days holiday (including bank holidays) with options to buy and sell days.
- Health support including Dental Insurance, Health Cash Plan, Health Screening, and Well Being Activities.
- Financial benefits such as 50% off motor and home insurance, Annual Bonus Schemes, and Competitive Pension.
- Well-being activities, mindfulness sessions, and Sports and Social Club events.
- Family support including maternity and paternity leave at full pay.
- Tech deals on various gadgets.
- Return to work programme after maternity leave.
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.
We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.
Our aim is to have great people everywhere in our business and we’re always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we’re open to discussing flexible working arrangements.
Want to be part of a Winning Team? Come and join Ageas.
Analytical Engineer in London employer: Ageas
Ageas is an excellent employer that fosters a collaborative and innovative work culture, where employees are empowered to contribute to meaningful projects like large-scale integration programmes. With a strong focus on professional development, you will have ample opportunities for growth and advancement while enjoying the benefits of a supportive team environment in a dynamic industry. Located in a vibrant area, Ageas offers unique advantages such as flexible working arrangements and a commitment to employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Analytical Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ageas!
✨Show Off Your Projects
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.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ageas.
✨Apply Directly through Our Website
When you find a suitable opening like Analytical Engineer at Ageas, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytical Engineer in London
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.
