Data Engineer - Customer and Data
This vacancy is published by an accredited employer with authorized corporate payroll and standard compliance adherence.
Transatlantic Cost of Living & Purchasing Power Benchmark
Position Overview & Specifications
The big question: why on earth should a Tech professional like you work for a 150-year-old retail chain? Because we’re on a journey. Changing the way we operate. Learning to think nimble. Giving our teams the time and freedom they need to push boundaries. To create amazing systems and technologies. To give our colleagues and our customers even more incredible experiences.
There are thousands of experts to talk to and learn from. We’ve got data from billions of transactions for our teams to play with. Things get built here. They get made here. They hit customers and colleagues quickly. Welcome to the home of Sainsbury's Data.
More about the role:
- Build, design and support large scale real-time and batch data pipelines
- Programming in one or more languages within our data eco-system e.g. Python
- Implement cloud technologies such as Amazon Web Services (AWS)
- Use best practices in continuous integration and delivery
. Test Driven Development practices, Unit, Lint, Integration, End to End Tests
- Work collaboratively within a team of cross-functional engineers
- Work with structured, semi-structure and unstructured data
Our technology stack for the role:
- Infrastructure As Code: Terraform
- Programming Languages: Python, SQL
- Data Warehouse: Snowflake
- Cloud Services: AWS (S3, Lambda functions, ECS, KINESIS Firehose, CloudWatch, API Gateway, RDS)
- CI/CD: CircleCI, GoCD, CodePipeline
- Version Control : Git / GitHub
- Workflow management system: Airflow
- Data Transformation Tool: dbt
What we’re looking for:
- An engineer with a passion for delivering solutions to customers.
- Someone who likes to roll up their sleeves and has hands on experience of the languages, tools and infrastructure
- Knowledgeable about data modelling, data analysis and synthesis, access and storage
- Self-driven and constantly striving to improve your team
- Advocate of agile/lean delivery methodologies
- Passionate about learning
In return you’ll get:
- Colleague discount across the multi-brands – Sainsbury’s, Argos and Habitat
- Holiday allowance
- Bonus scheme
- Pension plan
- Special offers on gym memberships, restaurants, holidays, retail vouchers and more
Flexible working and job share conversations are encouraged. Across our multi-brands, we’re proud to be an equal opportunities employer that champions a diverse and inclusive culture. If you’re reading this, even if you’re not 100% sure you’re there with your experience, we’d still love to hear from you. If you’d like to find out more head to Sainsbury's Data
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
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Data Engineer - Customer and Data • Sainsburys
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