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 inclusive work culture, prioritising employee growth and development. As a Data Engineering Lead, you will have the opportunity to work with cutting-edge technologies like Snowflake in a dynamic environment that values innovation and technical excellence. With flexible working arrangements and a commitment to diversity, Chaucer ensures that every team member can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead - 12 Month FTC
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Data Engineering Lead - 12 Month FTC
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Chaucer Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Chaucer Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Chaucer Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Chaucer Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Chaucer Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Chaucer Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Chaucer Group.
