Databricks Data Engineer - Modern Platform & AI Readiness

STARK Building Materials UK

Huddersfield

On-site

GBP 65,000 - 90,000

Full time

14 days+

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Job summary

STARK UK is transforming its data platform, moving toward a Databricks-centric architecture to support analytics, self-service reporting and AI initiatives. The Data Engineer will design and build scalable data pipelines, curate datasets across Bronze to Platinum, and drive platform modernisation with collaboration across Data Analysts and business stakeholders.

You will work closely with the Lead Data Engineer to migrate legacy Informatica and Synapse workloads, implement DataOps practices, and

Qualifications

  • Hands-on Data Engineer with Databricks experience.
  • Experience in modern data platforms and data products.
  • Strong Python skills for data engineering workloads.
  • Experience with Azure Synapse and data modelling.

Responsibilities

  • Design, build and maintain scalable data pipelines and data products using Databricks, Python and SQL.
  • Ingest and curate data from multiple sources across Bronze to Platinum layers.
  • Migrate and modernise legacy pipelines from Informatica/Synapse to Databricks.
  • Ensure data quality, tests, monitoring and version control in CI/CD workflows.
  • Collaborate with analysts and stakeholders to deliver trusted datasets.

Skills

Databricks
Python
Azure Synapse
SQL
Data modelling
Data quality
Cloud data storage
Communication

Tools

Databricks Lakehouse
Azure Synapse
Informatica
Delta Lake

Job description

STARK UK is transforming its data platform, moving toward a Databricks-centric architecture to support analytics, self-service reporting and AI initiatives. The Data Engineer will design and build scalable data pipelines, curate datasets across Bronze to Platinum, and drive platform modernisation with collaboration across Data Analysts and business stakeholders.

You will work closely with the Lead Data Engineer to migrate legacy Informatica and Synapse workloads, implement DataOps practices, and

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