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Data Engineer - Reigate

esure Group
Reigate
3 weeks ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data EngineerJob Tenure:Full-time, permanentSalary:CompetitiveCompany Description

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.

Job Description

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.

Qualifications

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.
  • And much more; See a full overview of our benefits hereReward and benefits | Esure Group PLC
     

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.

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