Staff Data Engineer — Scalable Data Platforms Leader

Sainsbury's Supermarkets Ltd

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

4 days ago
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Benefits offered by this job

Hybrid working environment
Competitive salary
Annual bonus up to 20%
Colleague discount across Sainsbury's

Job summary

Sainsbury's Tech is seeking a Staff Engineer – Data Engineering to shape the technical direction of our data platforms across enterprise-scale systems. You will partner with Engineering Managers, Principal Engineers and product teams to deliver scalable, secure data solutions spanning batch, streaming and event-driven architectures.

You'll lead across multiple squads, drive reusable patterns, and raise engineering standards while mentoring engineers.

Qualifications

  • Experience designing, building and operating modern data platforms at scale.
  • Hands-on with batch, streaming and event-driven architectures (Kafka).
  • Strong knowledge of cloud platforms (AWS, Azure or GCP) and data services.

Responsibilities

  • Lead design and implementation of scalable data platforms and pipelines.
  • Define technical direction across multiple teams to ensure maintainability.
  • Drive architecture reviews and establish engineering standards for data ingestion, transformation and governance.
  • Coach engineers through reviews, pairing and code reviews to raise standards.
  • Collaborate with Product, Architecture, Security, Governance and BI teams to deliver coherent data solutions.
  • Ensure data governance, GDPR and PII considerations are embedded in designs from the outset.

Skills

Data engineering
Kafka
Snowflake
SQL
Python
dbt
AWS
Azure
GCP
CI/CD
DevSecOps
Data governance

Tools

Kafka
Snowflake
dbt
Python
SQL

Job description

Sainsbury's Tech is seeking a Staff Engineer – Data Engineering to shape the technical direction of our data platforms across enterprise-scale systems. You will partner with Engineering Managers, Principal Engineers and product teams to deliver scalable, secure data solutions spanning batch, streaming and event-driven architectures.

You'll lead across multiple squads, drive reusable patterns, and raise engineering standards while mentoring engineers.

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