At a Glance
- Tasks: Lead the design and implementation of scalable data solutions on the Snowflake platform.
- Company: Join Chaucer, a leading insurance group at Lloyd’s, with a commitment to diversity.
- Benefits: Flexible working arrangements and a supportive, inclusive workplace culture.
- Other info: Opportunities for professional growth and development in a dynamic environment.
- Why this job: Make a real impact in data engineering while collaborating with diverse teams.
- Qualifications: Experience in data engineering leadership and expertise in Snowflake and SQL.
The predicted salary is between 70000 - 90000 £ per year.
The Data Engineering Lead plays a key role in delivering Chaucer’s data transformation by owning the design, build, and implementation of scalable data engineering solutions on the Snowflake platform. Reporting to the Data Platforms Delivery Manager, the role is accountable for leading engineering activity across data products, establishing standards, and ensuring high-quality, governed, and performant data pipelines.
The role provides hands-on technical leadership and ensures engineering delivery aligns to agreed priorities, working closely with delivery, architecture, and business teams.
Key Responsibilities- Own the design, build, and implementation of data engineering solutions on the Snowflake platform, ensuring delivery meets defined scope, quality, and engineering standards.
- Lead the development of scalable data pipelines, data models, and ingestion frameworks aligned to business use cases.
- Drive engineering execution across multiple workstreams, ensuring clarity of tasks, priorities, and dependencies.
- Define and enforce standards across data modelling, transformation, orchestration, and deployment.
- Oversee implementation of ingestion and transformation patterns (e.g. ADF, Fivetran, SQL/dbt or equivalent).
- Ensure the Snowflake platform is scalable, performant, and cost-efficient through effective design and optimisation.
- Provide hands-on technical leadership, coaching, and guidance to data engineers.
- Identify and manage technical risks, issues, and dependencies, working with the Data Platforms Delivery Manager to support resolution.
- Design and oversee integration of data from core insurance systems, finance platforms, and external sources.
- Ensure consistent application of data architecture principles, including layered models and reusable data assets.
- Collaborate with data architects to align engineering solutions with target architecture and platform strategy.
- Embed data quality, lineage, and governance controls within engineering solutions.
- Ensure adherence to Chaucer’s data governance frameworks, regulatory requirements, and audit standards.
- Define and support monitoring of data quality metrics, SLAs, and operational controls.
- Ensure engineering artefacts, documentation, and standards are maintained consistently.
- Act as the primary engineering lead across data platform initiatives, working closely with business and technology stakeholders.
- Translate business requirements into clear technical designs and implementation approaches.
- Provide clear input into delivery planning, highlighting dependencies, constraints, and technical considerations.
- Support alignment across engineering, analytics, and business teams.
- Strong experience in data engineering leadership roles within cloud-based data platforms.
- Deep expertise in Snowflake, including data architecture, optimisation, and performance tuning.
- Strong technical skills in SQL, data modelling, and ETL/ELT frameworks (e.g. ADF, Fivetran, dbt or similar).
- Experience working within Azure data ecosystems (preferred).
- Understanding of data governance, data quality, and control frameworks.
- Ability to lead engineers, set standards, and drive technical accountability.
- Strong stakeholder management and communication skills within complex environments.
- Experience working within Insurance or Financial Services (preferred).
- A bachelor’s degree in a relevant field such as Computer Science, Information Systems, or a related discipline desirable.
- Professional certifications in cloud platforms (e.g. Azure), data engineering, or Snowflake desirable.
- Industry certifications in insurance domain desirable.
Chaucer is a leading insurance group at Lloyd’s, the world’s specialist insurance market. We help protect industries around the world from the risks they face. Our customers include major airlines, energy companies, shipping groups, global manufacturers and property groups.
Our headquarters are in London, and we have international offices in Bermuda, Copenhagen, Dubai and Singapore to be closer to our clients across the world. To learn more about us please visit our website.
Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics which are outlined in the Equality Act 2010 (UK legislation) as a result of the Equal Treatment Directive 2006 (EU legislation). A diverse workforce and an inclusive workplace are core to our success as a business and integral to our winning strategy and culture. We recruit from the widest available pool of talent, and our hiring, assessment and selection process is fair, free from bias and one which ensures we select the right person for the job, based on merit. We are committed to promoting a culture that actively values difference, and recognises that everyone has the right to be treated with dignity and respect throughout their employment.
We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process.
Data Engineering Lead - 12 Month FTC in London employer: Chaucer Underwriting Services
Chaucer is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets inclusivity. As a leader in the insurance sector, we provide our employees with ample opportunities for professional growth and development, particularly in data engineering on cutting-edge platforms like Snowflake. Our commitment to diversity and flexible working arrangements ensures that every team member feels valued and empowered to contribute meaningfully to our mission of protecting industries worldwide.
Contact Details:
Chaucer Underwriting Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead - 12 Month FTC in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake or in insurance. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data engineering projects, especially those involving scalable data pipelines and cloud platforms. This will give you an edge during interviews and help us see your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on SQL, data modelling, and ETL/ELT frameworks. We want to see how you tackle real-world problems, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you're genuinely interested in joining our team at Chaucer. Don’t miss out on this opportunity!
We think you need these skills to ace Data Engineering Lead - 12 Month FTC in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data engineering, especially on the Snowflake platform. We want to see how your skills align with the key responsibilities outlined in the job description.
Showcase Your Leadership Skills:As a Data Engineering Lead, you'll need to demonstrate your ability to lead teams and manage projects. Share examples of how you've successfully led engineering activities or mentored others in your previous roles.
Highlight Relevant Experience:Don’t forget to mention any experience you have with cloud-based data platforms, particularly Azure, and your familiarity with data governance and quality frameworks. This will help us see how you fit into our team.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Chaucer Underwriting Services
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with data architecture, optimisation, and performance tuning on the platform. Prepare specific examples of how you've designed and implemented scalable data solutions.
✨Showcase Your Leadership Skills
As a Data Engineering Lead, you'll need to demonstrate your ability to lead teams effectively. Think of instances where you've guided engineers, set standards, or driven technical accountability. Be prepared to share how you’ve managed projects and ensured high-quality delivery.
✨Understand the Business Context
Familiarise yourself with Chaucer’s business model and the insurance industry. Be ready to translate business requirements into technical designs. Showing that you understand how data engineering supports business goals will set you apart from other candidates.
✨Prepare for Stakeholder Management Questions
Expect questions about how you manage relationships with various stakeholders. Think of examples where you've collaborated with business and technology teams to align on project goals. Highlight your communication skills and how you handle complex environments.
