Analytics Engineer

Salary: £61,000 - 101,000 per year

Requirements:

• Strong skills in SQL, including experience with Snowflake and DBT.
• Proficiency in SQL and NoSQL databases.
• Experience with containerization tools such as Docker and orchestration tools such as Airflow or Astronomer.
• Familiarity with cloud platforms such as AWS and Azure.
• Experience with CI/CD pipelines and automation tools such as GitHub Actions.
• Experience with data quality and observability platforms such as Soda.io and BigEye.
• Understanding of monitoring and logging tools such as NewRelic and Grafana.
• Prior experience deploying data pipelines in production environments.
• Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation.

Responsibilities:

• Work with various data squads to ensure the right data is available for teams to build fantastic products.
• Design, implement, and maintain scalable data pipelines using CI/CD.
• Automate the end-to-end workflow from data ingestion, testing, deployment, and monitoring.
• Optimize model serving infrastructure for latency, scalability, and cost.
• Build infrastructure to monitor model performance, data drift, and other key metrics in production.
• Collaborate with developers and MLOps engineers to ensure pipelines are production-ready.
• Implement security, compliance, and governance practices.
• Support troubleshooting and incident response for deployed systems.
• Build relationships with colleagues, mentor them, and share what we have learned.
• Partner with Data Modellers, Analytics Engineers, Data Scientists, Architects, and Product Managers to deliver world-class data products.

Technologies:

• AI
• Airflow
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• GitHub
• Grafana
• Support
• MLOps
• Model Serving
• NoSQL
• SQL
• Security
• Snowflake
• Terraform
• XP
• dbt
• DevOps
• Python

More:

We are partnering directly with Sainsburys to hire for this role. We offer real work-life balance and a modern software engineering environment backed by serious investment in our Tech Academy, standards, and ways of working such as Agile, Scrum, and XP. As part of Sainsburys Tech, we power the UKs top multi-channel, multi-brand retailer and work with huge volumes of data across thousands of shops and millions of customers. We are a progressive community that values continuous improvement, technical excellence, collaboration, and innovation, with opportunities to work on everything from AI to reusable tech. We also offer a range of benefits including colleague discounts across Sainsburys, Argos and Habitat, holiday allowance, bonus scheme, pension plan, flexible working, and special offers on gym memberships, restaurants, holidays, and retail vouchers. We are committed to inclusion and supporting development across the business.

last updated 39 week of 2026