Data Engineer

Data Engineer

Reigate Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a dynamic team to design and build cutting-edge data products and AI services.
  • Company: esure Group is revolutionising insurance with over 2 million customers trusting their innovative approach.
  • Benefits: Enjoy competitive salary, flexible working, private medical insurance, and generous annual leave.
  • Why this job: Be part of a mission-driven company that values innovation, collaboration, and community impact.
  • Qualifications: Passion for data engineering, strong Python skills, and experience with cloud data warehouses required.
  • Other info: Flexible working options and a commitment to diversity and inclusion make this a unique opportunity.

The predicted salary is between 36000 - 60000 £ per year.

Ready to join a team that’s leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold commitment for digital innovation, we’re transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.

We are currently recruiting for a Data Engineer to join our wider data community! You will work in a team of Data & AI Engineers, Data Scientists, Developers, Analysts and Architects and work on the design and build out of cutting-edge machine learning and AI services, supporting analytics and product iteration across our business.

What you’ll do:

  • Build and support esure’s data products within their industry leading platform.
  • Work with product managers, data & AI engineers to deliver technical solutions for our most pressing data problems including GenAI applications.
  • Design, build, and maintain the data and analytics platform’s components to enable seamless data consumption and usage, including orchestration, monitoring, and performance optimization.
  • Integrate data from a variety of sources, assuring that they adhere to data quality and technical standards.
  • Creating frameworks and processes for data pipelines across the data and analytics platform.
  • Establish and uphold coding and data process standards across the platform, actively promoting and enforcing best practices.
  • Improve data engineering processes and roll these out across our team and wider data community.
  • Work with architects on best design for data products, evaluating and experimenting with new data tools & supporting ML & AI infrastructure and workflows.

What we’d love you to bring:

  • A passion for designing and building a robust data platform.
  • Great interpersonal skills and collaborative mindset.
  • Strong hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS.
  • Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow.
  • Hands-on experience in all phases of data modelling from conceptualization to database optimization supported by advanced SQL skills.
  • Hands-on Experience with implementing CICD, using Git, Jenkins or similar technologies.
  • Solid hands-on experience implementing batch and real-time data integration frameworks including assessing performance, debugging, and fine-tuning those systems.
  • Demonstrated ability to perform the engineering necessary to acquire, ingest, cleanse, integrate, and structure massive volumes of data from multiple sources.
  • Experience with Terraform or similar Infrastructure as Code (IaC) tools is a plus.
  • Experience with Docker and Kubernetes for containerization and orchestration of data workflows is a plus.
  • Exposure to Generative AI in production is a plus.

Additional Information

The Interview Process (subject to change): You’ll start with an introductory call with one of our Talent Partners. This is a ‘get to know you session’ and for you to explore the position in more detail. 1st stage interview: 30-minute interview with our Data Engineering Technical Lead or Lead Data Scientist. 2nd stage: 2-hour technical interview to showcase your Data Engineering experience. This stage will include presenting your technical data task (which we will share with you 1 week before interview to complete). During this interview you will also get the chance to meet with multiple individuals in our Data team.

What’s in it for you?

  • Competitive salary that reflects your skills, experience and potential.
  • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
  • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
  • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
  • Company funded private medical insurance for qualifying colleagues.
  • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
  • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
  • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
  • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
  • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need.
  • Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
  • We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered.
  • We celebrate individuality and create spaces where unique backgrounds and experiences can come together.
  • We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation.
  • Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.

Data Engineer employer: esure Group

At esure Group, we pride ourselves on being an exceptional employer that champions innovation and inclusivity in the insurance sector. Our collaborative work culture fosters personal and professional growth, offering extensive training and mentoring opportunities alongside a competitive salary and flexible benefits tailored to support your lifestyle. With a commitment to community engagement and a hybrid working model, we empower our employees to thrive while making a meaningful impact in the industry.
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Contact Detail:

esure Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks, Snowflake, and Python. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to tackle the challenges of the role.

✨Tip Number 2

Prepare to discuss your previous projects involving data engineering, especially those that showcase your ability to integrate data from various sources. Be ready to explain your thought process and the impact of your work on the overall project outcomes.

✨Tip Number 3

During the interview, highlight your collaborative skills and how you've worked effectively within a team. Since the role involves working closely with Data Scientists and Product Managers, showcasing your interpersonal skills can set you apart from other candidates.

✨Tip Number 4

Stay updated on the latest trends in data engineering and AI, particularly in the insurance sector. Being knowledgeable about current advancements will not only impress your interviewers but also show your genuine interest in contributing to esure's mission of digital innovation.

We think you need these skills to ace Data Engineer

Cloud Data Warehousing (Databricks/Snowflake)
Python Programming
Spark
Apache Airflow
SQL Proficiency
Data Modelling
CI/CD Implementation
Git
Jenkins
Data Integration Frameworks
Performance Tuning
Data Cleansing and Structuring
Infrastructure as Code (Terraform)
Docker
Kubernetes
Generative AI Exposure
Collaboration and Interpersonal Skills
Problem-Solving Skills
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineer role at esure Group. Focus on your hands-on experience with cloud data warehouses, Python, and data integration frameworks.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of esure's mission to revolutionise insurance. Mention specific projects or experiences that demonstrate your ability to contribute to their data community.

Showcase Technical Skills: In your application, emphasise your technical skills such as experience with Databricks/Snowflake, Python, and CI/CD tools. Provide examples of how you've used these technologies in past projects to solve data problems.

Prepare for Interviews: Anticipate the types of questions you might be asked during the interview process. Be ready to discuss your technical experience in detail and prepare to present any technical tasks they may assign you prior to the interview.

How to prepare for a job interview at esure Group

✨Understand the Company’s Mission

Before your interview, take some time to research esure Group and their mission to revolutionise insurance. Familiarise yourself with their digital transformation efforts and how they leverage data to enhance customer experiences. This will help you align your answers with their goals.

✨Showcase Your Technical Skills

Be prepared to discuss your hands-on experience with cloud data warehouses like Databricks or Snowflake, as well as your proficiency in Python and SQL. Highlight specific projects where you've implemented data integration frameworks or optimised data processes, as this will demonstrate your technical capabilities.

✨Prepare for Technical Challenges

Since the interview includes a technical task, make sure to review the materials provided a week in advance. Practice explaining your thought process and the decisions you made during the task, as this will showcase your problem-solving skills and ability to communicate complex ideas.

✨Emphasise Collaboration and Communication

As a Data Engineer, you'll be working closely with product managers and other team members. Be ready to discuss examples of how you've successfully collaborated in past roles, and highlight your interpersonal skills. This will show that you can work effectively within a team environment.

Data Engineer
esure Group
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  • Data Engineer

    Reigate
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-06-23

  • E

    esure Group

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