At a Glance
- Tasks: Lead the design and implementation of scalable data solutions on the Snowflake platform.
- Company: Join Chaucer, a forward-thinking company committed to data transformation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with excellent career advancement opportunities.
- Why this job: Make a real impact in data engineering while leading innovative projects.
- Qualifications: Experience in data engineering and strong skills in SQL and cloud platforms.
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.
Data Integration & Architecture
- 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.
Governance, Quality & Assurance
- 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.
Stakeholder & Cross‑Team Coordination
- 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.
Skills and Competencies
- 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).
Education
- 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.
Equal Opportunity Statement
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 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.
Data Engineering Lead - 12 Month FTC employer: Chaucer Underwriting Services Limited
Chaucer is an exceptional employer that fosters a collaborative and inclusive work culture, where diversity is celebrated and every employee is valued. As a Data Engineering Lead, you will have the opportunity to drive impactful data transformation initiatives on the Snowflake platform while benefiting from professional growth opportunities and hands-on technical leadership. Located in a dynamic environment, Chaucer offers a supportive atmosphere that encourages innovation and excellence in data engineering.
Contact Details:
Chaucer Underwriting Services Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead - 12 Month FTC
✨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! Create a portfolio showcasing your best data engineering projects, especially those involving scalable data pipelines and cloud platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with SQL, ETL/ELT frameworks, and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineering Lead - 12 Month FTC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineering Lead role. Highlight your expertise in Snowflake and any relevant cloud platforms, as well as your leadership experience in data engineering.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led data engineering projects and how you’ve ensured high-quality data pipelines in your previous roles.
Showcase Your Technical Skills:Don’t forget to mention your technical skills in SQL, data modelling, and ETL/ELT frameworks. We want to see how you’ve applied these skills in real-world scenarios, especially within cloud-based environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Chaucer Underwriting Services Limited
✨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. Highlight specific projects where you've successfully implemented scalable data solutions.
✨Showcase Your Leadership Skills
As a Data Engineering Lead, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've guided engineers in previous roles, set standards, and driven accountability. Think about times when you resolved conflicts or managed technical risks.
✨Understand the Business Context
Familiarise yourself with the insurance and financial services sectors, as this role is closely tied to these industries. Be prepared to discuss how your engineering solutions can align with business use cases and improve operational efficiency.
✨Prepare for Technical Questions
Expect to face technical questions related to SQL, data modelling, and ETL/ELT frameworks like ADF and dbt. Brush up on your technical skills and be ready to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident.