At a Glance
- Tasks: Lead the design and implementation of scalable data solutions on Snowflake.
- Company: Join a forward-thinking company committed to diversity and innovation.
- Benefits: Flexible working arrangements, competitive salary, and professional development opportunities.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make a real impact in data engineering while leading exciting projects.
- Qualifications: Experience in data engineering and strong skills in SQL and Snowflake.
The predicted salary is between 70000 - 90000 £ per year.
The Data Engineering Lead is responsible for designing, building, and implementing scalable data engineering solutions on Snowflake, ensuring high‑quality, governed, and performant data pipelines. The role provides hands‑on technical leadership and aligns engineering delivery to business priorities.
Key Responsibilities
- Own the design, build, and implementation of data engineering solutions on Snowflake, 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 data integration from core insurance systems, finance platforms, and external sources, applying reusable data assets and layered models.
- Embed data quality, lineage, and governance controls within engineering solutions, ensuring adherence to data governance frameworks, regulatory requirements, and audit standards.
- Act as the primary engineering lead across data platform initiatives, translating business requirements into clear technical designs and implementation approaches.
- Provide clear input into delivery planning, highlighting dependencies, constraints, and technical considerations, and 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 and Certifications
- 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 the insurance domain desirable.
Benefits
We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process.
Equal Employment Opportunity Statement
Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics outlined in the Equality Act 2010 (UK legislation).
Data Engineering Lead - 12 Month FTC employer: Chaucer Group
Chaucer is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Data Engineering Lead role. With a strong commitment to employee growth, we offer flexible working arrangements and opportunities for professional development in a dynamic environment focused on cutting-edge data solutions. Our emphasis on diversity and inclusion ensures that every team member's unique perspective is valued, making Chaucer a rewarding place to advance your career in the insurance and financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead - 12 Month FTC
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Snowflake or data pipelines. This gives potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and data modelling skills. Be ready to discuss your past projects and how you’ve tackled challenges in data engineering. Confidence and clarity are key!
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our awesome team!
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 speaks directly to the Data Engineering Lead role. Highlight your experience with Snowflake, data pipelines, and any relevant projects that showcase your leadership skills. We want to see how you align with our needs!
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 your background fits the job. Be sure to mention any specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Include specific examples of your work with SQL, ETL/ELT frameworks, and any cloud platforms you've used. We love seeing how you’ve tackled challenges in past roles, especially in complex environments.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Chaucer Group
✨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. They’ll want to see that you can not only use Snowflake but also understand its intricacies.
✨Showcase Your Leadership Skills
As a Data Engineering Lead, you'll need to demonstrate your ability to lead and mentor other engineers. Prepare examples of how you've successfully guided teams in the past, set standards, and driven accountability. This is your chance to shine as a technical leader!
✨Understand the Business Context
Familiarise yourself with the insurance and financial services sectors, as this role requires translating business needs into technical solutions. Be prepared to discuss how your engineering decisions can align with business priorities and improve outcomes.
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Brush up on SQL, ETL/ELT frameworks, and data governance principles. Practising problem-solving scenarios related to data pipelines and integration will help you feel more confident.
