Data Engineer - Reigate

esure Group
Reigate
2 weeks ago
Applications closed

Related Jobs

View all jobs

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.