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 diversity and innovation.
- Benefits: Flexible working arrangements, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team that values difference and promotes inclusivity.
- Why this job: Make a real impact in data engineering while leading exciting projects in a collaborative environment.
- Qualifications: Experience in data engineering and strong skills 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
- Data Engineering Delivery & Snowflake Platform Leadership: 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.
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 employer: SwiftCruit
Chaucer is an exceptional employer that champions diversity and inclusivity, fostering a collaborative work culture where every employee is valued and respected. 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 flexible working arrangements. Join us in a dynamic environment that prioritises innovation and technical excellence, ensuring your contributions are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead - 12 Month FTC
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like SwiftCruit before they're even advertised!
✨Show Off Your Skills With Projects
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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like SwiftCruit.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like SwiftCruit.
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 SwiftCruit, 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 SwiftCruit, 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 SwiftCruit’s attention and show the tangible impact of your work.
How to prepare for a job interview at SwiftCruit
✨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 SwiftCruit.
✨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 SwiftCruit.
✨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 SwiftCruit.
