Senior Data Engineer — Databricks Platform & Governance

Stack Infrastructure Emea

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

Stack Infrastructure Emea in London is seeking a Senior Data Engineer to build and manage Stack’s data platform in Databricks, creating reliable pipelines from multiple source systems and ensuring governance and security for business insights.

You will collaborate with Finance, Delivery, Operations and HR to improve reporting, implement data quality checks and support decision-making while optimizing costs and performance.

Qualifications

  • Significant experience as a Data Engineer, including ownership of production data pipelines.
  • Strong hands-on experience with Databricks, Delta Lake, Python, SQL and PySpark.
  • Experience integrating data from APIs, business applications, databases and files.
  • Experience with Unity Catalog, access management, data governance and data quality controls.

Responsibilities

  • Design, build and maintain data pipelines from APIs, databases, SaaS applications, files and spreadsheets into Databricks.
  • Develop scalable data models and Delta Lake architecture for reporting, analytics and future AI use cases.
  • Manage Databricks Workflows, Lakeflow or Delta Live Tables, SQL Warehouses and related processing jobs.
  • Administer Databricks workspaces, Unity Catalog, permissions, service principals.

Skills

Databricks
Delta Lake
PySpark
Python
SQL
Unity Catalog
Data governance
Data quality checks
CI/CD
Power BI
Production data pipelines

Education

Databricks Certification

Tools

Databricks
Delta Lake
SQL Warehouses
Unity Catalog
Git
Azure Data Services
Power BI
CI/CD

Job description

Stack Infrastructure Emea in London is seeking a Senior Data Engineer to build and manage Stack’s data platform in Databricks, creating reliable pipelines from multiple source systems and ensuring governance and security for business insights.

You will collaborate with Finance, Delivery, Operations and HR to improve reporting, implement data quality checks and support decision-making while optimizing costs and performance.

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