SP
SpecsaversData Engineer
Data Engineer designing and developing data solutions at Specsavers. Collaborating on data pipelines and migrations with analysts and stakeholders.
About the role
- Take ownership of scalable data pipelines and cloud data architecture
- Build and manage end-to-end batch data pipelines with Airflow and Snowflake
- Develop robust data models to support dashboards and advanced analytics
- Deliver dashboards and insights using modern tools like Airflow, Snowflake, and dbt
- Work closely with analysts, QA, and product teams to understand and deliver on data requirements
- Mentor junior engineers and contribute to architectural decisions
- Ensure data quality, performance, and scalability across the stack
Requirements
- 5+ years of experience in data engineering
- Hands-on experience with modern cloud data stacks (Snowflake, dbt, Airflow)
- Solid SQL and Python scripting skills
- Experience with Python, SQL, Git, GCP/AWS
- Experience building data products or platforms that support non-technical users (dashboards, self-serve, etc.)
- Bonus: Redis, Kafka, Power BI
- Bonus: Experience in gaming or digital entertainment industries
- Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship
- This role is subject to mandatory background screening, criminal background checks, fingerprints, and regulatory approvals
Benefits
- employees’ development and offer career pathways
- people-first mindset prioritises the safety and wellbeing of our people
- Building Momentum in Sustainability initiatives and disclosures
- Equal employment opportunities and application accommodations
- Travel Expectations: None
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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