Databricks Data Engineer – Modern Data Platform Builder

Raab-Karcher Baustoffhandel; Huddersfield; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

STARK UK is seeking a hands-on Data Engineer in Huddersfield to help modernise our data platform with Databricks, Python and Azure Synapse. You will design and operate scalable data pipelines and data products that enable analytics and AI initiatives across the business.

You will migrate legacy processes, build reliable data assets and collaborate with data analysts and stakeholders to deliver trusted datasets for reporting and self-service analytics.

Qualifications

• Hands-on data engineering experience in Data Platform or Data Warehouse.
• Experience with Databricks and Lakehouse architectures.
• Strong Python skills for data engineering workflows.
• Experience with Azure Synapse and migration from legacy platforms.
• Strong SQL and data modelling capabilities.
• Familiar with data quality, testing, monitoring and deployment practices.
• Experience with cloud storage and modern data platform concepts.

Responsibilities

• Design, build, test and maintain scalable data pipelines and data products using Databricks, Python, SQL and Azure data technologies.
• Ingest, transform and curate data from operational systems, files and APIs.
• Develop datasets across Bronze to Platinum layers for analytics and reporting.
• Migrate legacy Informatica and Synapse solutions to Databricks-based platform.
• Implement data quality controls, testing, monitoring and deployment automation.
• Collaborate with analysts and stakeholders to translate requirements into engineering solutions.

Skills

Databricks

Python

Azure Synapse

SQL

Data Modelling

Data Quality

DataOps

CI/CD

Cloud Data Storage

Tools

Informatica

Delta Lake

Power BI

Azure Data Lake

Job description

STARK UK is seeking a hands-on Data Engineer in Huddersfield to help modernise our data platform with Databricks, Python and Azure Synapse. You will design and operate scalable data pipelines and data products that enable analytics and AI initiatives across the business.

You will migrate legacy processes, build reliable data assets and collaborate with data analysts and stakeholders to deliver trusted datasets for reporting and self-service analytics.