Join to apply for the Lead Data Engineer role at Women in Data
We are seeking a Lead Data Engineer to join our forward-thinking Data department. You’ll work in a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business.
What you’ll do
* Lead on data engineering projects, managing a sub-team within engineering, building out our data warehouse & pipelines
* Collaborate effectively across data science, analytics, product, engineering and commercial business teams
* Build and support esure’s data products within our industry leading platform
* Work with product managers, data & AI engineers to deliver technical solutions for our most pressing data problems including GenAI applications
* Integrate data from a variety of sources, assuring that they adhere to data quality and technical standards. Migrating legacy systems into a modern scalable platform
* Creating frameworks and processes for data pipelines across the data and analytics platform
* Improve data engineering processes and roll these out across our team and wider data community
* Set coding standards across the platform, naming conventions across data products, championing and enforcing both
* 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:
* Strategic thinker, aligning multiple workstreams to deliver a scalable, high-quality data platform
* Develops the data function roadmap with thought leadership on tooling, technology, and guidelines
* Product-minded leader, solving customer and business data challenges
* Culture builder, driving continuous improvement and operational excellence
* Deep expertise in data compliance frameworks, cost management, and platform optimisation
* Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform
* Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins)
* Proven track record in data modelling, batch/real-time integration, and large-scale data engineering
* Exposure to deploying Generative AI in production environments
Additional Information / Benefits
* 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
* Flexible benefits platform with perks to support health, wellbeing, lifestyle, and finances
* Company funded private medical insurance for qualifying colleagues
* Discounts on our insurance products - 50% off for yourself and spouse/partner and 10% off for direct family members
* Hands-on training, mentoring, access to exclusive academies, regular career conversations and partner resources
* Two volunteering days per year to support local communities
* Internal networks and communities to connect, learn, and share ideas
* Flexible/Hybrid working approach; ask about the flexibility you need
* See a full overview of our benefits in the Rewards and benefits section
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. 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.
We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.
“Stay connected! Follow us on LinkedIn for updates on career opportunities and more.”
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Analyst
Industries
* Information Services
#J-18808-Ljbffr