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SpecsaversData Engineer
Data Engineer designing and developing data solutions at Specsavers. Collaborating on data pipelines and migrations with analysts and stakeholders.
About the role
- Leveraging your data expertise, you’ll design and implement data solutions that’ll help us answer questions and understand business objectives
- Identifying opportunities for improving process, automating, optimising and evolving our current data solutions, standardising to ensure usability
- Working closely with teams outside of data disciplines to influence and adopt data best practices
- Collaborating with the wider Engineering team on modern SDLC processes to ensure seamless integration of data solutions into our ecosystem
Requirements
- You’ve ideally spent 3+ years in a commercial environment as a Data Engineer, ideally within a fast-paced environment
- You have expertise in SQL (ideally with Snowflake or another cloud-based warehouse), including permissions, resources, and ingestion frameworks.
- Strong experience with ETL/ELT tools (Airflow, Airbyte, DBT).
- Hands-on experience with Python for automation, pipeline development, and scripting.
- Experience building and scaling BI environments (Lightdash/Looker/Omni or similar).
- Strong understanding of CI/CD workflows and modern development practices.
- Track record of working cross-functionally, shaping requirements, and delivering solutions aligned to business goals.
- Experience within a marketplace or the luxury good space is advantageous
- An interest in Cars/Watches whilst not mandatory, is highly desirable
Benefits
- A competitive salary package
- 25 days holiday increased with tenure
- Private medical insurance for you and your family
- Company pension contribution
- The opportunity to attend amazing automotive and watch events
- The best equipment to ensure you can do your job effectively.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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