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- Tasks: Lead data engineering projects and build scalable data platforms for innovative analytics.
- Company: Join a forward-thinking team at Women in Data, committed to diversity and inclusion.
- Benefits: Enjoy competitive salary, flexible working, and generous leave policies.
- Why this job: Make a real impact by solving data challenges with cutting-edge technology.
- Qualifications: Experience in data engineering, cloud platforms, and strong Python skills required.
- Other info: Be part of a supportive community that values individuality and professional growth.
The predicted salary is between 48000 - 84000 £ per year.
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
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Lead Data Engineer employer: Women in Data®
Contact Detail:
Women in Data® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data engineering field. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or cloud data warehouses. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Women in Data.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Engineer role. Highlight your experience with data platforms, cloud technologies, and any leadership roles you've had. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills: We love seeing hands-on experience! Make sure to include specific examples of your work with SQL, Python, and any cloud data warehouses like Databricks or Snowflake. This will help us understand your technical prowess and how you can tackle our data challenges.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at Women in Data®
✨Know Your Data Tools
Make sure you’re well-versed in the modern cloud data warehouses mentioned in the job description, like Databricks and Snowflake. Brush up on your SQL, Spark, and Airflow skills, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be managing a sub-team. Prepare examples of how you've successfully led projects or teams in the past. Highlight your experience in driving continuous improvement and operational excellence.
✨Understand the Business Context
Familiarise yourself with the insurance industry and how data engineering can solve business challenges. Be ready to discuss how your work can support self-service analytics and AI-driven decision-making within the company.
✨Prepare for Collaboration Questions
Collaboration is key in this role. Think of specific instances where you’ve worked effectively with cross-functional teams, such as data scientists or product managers. Be prepared to discuss how you can integrate data from various sources while maintaining quality standards.
