Data Engineer

• Work with various data squads at Sainsbury's to ensure the right data is available for teams to build fantastic products.

• Design, implement, and maintain scalable Data pipelines (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 Devlopers and MLOps engineers to ensure that pipelines are production-ready.

• Implement security, compliance, and governance practices.

• Support troubleshooting and incident response for deployed systems.

• Building relationships with your colleagues - mentoring them, and teaching things you've learned

• Partnering with Data Modellers, Analytics Engineers, Data Scientists, Architects and Product Managers to deliver world-class data products

We use a variety of tech here and you need to be willing to pick up new tools and techniques. We'd also like you to be yourself - analytical, curious and unafraid to challenge the status quo. You'll constantly strive to improve the way things are done in your team, contributing as a progressive member of the engineering community., Required:

• Strong skills in SQL and Python; experience with Snowflake and DBT.

• Proficiency in SQL and NoSQL databases.

• Experience with containerization tools like 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 platform (e.g. Soda.io, BigEye)

• Understanding of monitoring and logging tools (e.g., NewRelic, Grafana).

Preferred:

• Prior experience deploying Data pipeline in production environments.

• Knowledge of infrastructure-as-code tools like Terraform or CloudFormation

Experience with:

• SQL

• Python

• AWS / Azure / GCP

• Snowflake

• Terraform

We are committed to being a truly inclusive retailer, so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them:

Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform.

Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme.

Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave.

Joining Sainsbury's Tech as a Data Engineer means becoming part of a leading technology organisation that powers the UK's top multi-channel, multi-brand retailer. We are a community of passionate engineers who are empowered to define and deliver through the use of technology. With a focus on continuous improvement and technical excellence, you will have the opportunity to shape our engineering vision, drive the adoption of best practices, and work with cutting-edge technologies. Not only will you contribute to innovative solutions that impact millions of customers, but you will also be part of a progressive community that fosters growth, collaboration, and the advancement of engineering expertise., We are looking for an experienced Data Engineer confident in investigating, ingesting and exploiting large datasets with core skills in SQL, Python, AWS and CI/CD. At Sainsburys Tech, within the Media Agency, we're unlocking petabytes of untapped potential. We have thousands of shops and millions of customers creating billions of transactions per year. We're on a mission to use this data better than anyone else.