Analytics Engineer - Data (AP)
Summary
Design, build and operate data pipelines powering data-driven products across Sainsbury's multi-brand retail and banking platform, collaborating with data modellers, scientists and product managers. Core stack includes SQL, Snowflake, DBT, Docker with Airflow/Astronomer orchestration, AWS/Azure, and CI/CD tooling like GitHub Actions.
As a Data Engineer at Sainsbury's Tech, you will design, build and operate data pipelines that enable data-driven products across our multi-brand retail platform. You will work with cross-functional teams to ensure reliable data availability and scalable processing at scale. You will collaborate with Data Modellers, Analytics Engineers, Data Scientists, Architects and Product Managers to deliver world-class data products. You will apply best practices in observability, governance and security to production systems, while embracing continuous improvement and new technologies. This role offers the opportunity to shape data engineering at scale and impact millions of customers.
Pay / Benefits- colleague discount across multi-brands
- holiday allowance
- pension plan
- flexible / smarter working policy
- bonus scheme
- employee wellbeing benefits
- Collaborate with data squads to ensure data availability for product teams
- Design, implement, and maintain scalable data pipelines (CI/CD)
- Automate end-to-end workflow from ingestion to deployment and monitoring
- Optimize model serving infrastructure for latency, scalability, and cost
- Build infrastructure to monitor model performance, data drift and key production metrics
- Collaborate with Developers and MLOps to ensure pipelines are production-ready
- Implement security, compliance, and governance practices
- Support troubleshooting and incident response for deployed systems
- Mentor colleagues and share learnings
- Partner with Data Modellers, Analytics Engineers, Data Scientists, Architects and Product Managers to deliver data products
- Strong SQL skills; experience with Snowflake and DBT
- Proficiency in SQL and NoSQL databases
- Experience with Docker and orchestration tools like Airflow or Astronomer
- Familiarity with cloud platforms (AWS, Azure)
- Experience with CI/CD pipelines and automation tools like GitHub Actions
- Experience with data quality and observability platforms (e.g. Soda.io, BigEye)
- Understanding of monitoring and logging tools (e.g., NewRelic, Grafana)
- Collaborative mindset
- Curiosity and willingness to challenge the status quo
- Mentoring and knowledge-sharing
- SQL
- Snowflake
- DBT