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Head of Data Engineering - Azure & Databricks - Hybrid - Up to £100,000

A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact. This is a hybrid role, requiring two days per week in the office, with flexibility around location.

Key Responsibilities:

• Lead and mentor a team of data engineers, fostering a culture of innovation and excellence.
• Architect and implement scalable data solutions using the Azure tech stack and Databricks.
• Collaborate with cross-functional teams to align data initiatives with business goals.
• Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed.

Requirements:

• Proven experience in leading data engineering teams.
• Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks.
• Comfortable balancing strategic leadership with occasional hands-on technical work.
• Excellent stakeholder management and communication skills.

What's on Offer:

• Competitive salary up to £100,000.
• Hybrid working model - 2 days in-office per week.
• Opportunity to shape the data landscape of a forward-thinking organisation.
• Discretionary Bonus
• And more.

Databricks Data Engineer - Leeds - Up to £70,000

Location: Leeds (Hybrid - 2 days per week onsite)
Job Type: Permanent

About the Company

Our client is a rapidly growing data‑driven consultancy helping enterprise‑scale organisations modernise their data estates. With several major new projects kicking off in early 2026, they are expanding their Leeds engineering hub and looking for a Databricks-focused Data Engineer to join their high‑performing team.

You will design, build, and optimise cloud-based data pipelines that feed analytics, AI, and real-time insights. You'll work closely with architects, analysts, and platform teams to deliver scalable, high‑quality data solutions.

Key Responsibilities:

• Develop, optimise, and maintain ETL/ELT pipelines within Databricks
• Build reliable data ingestion frameworks using PySpark and Spark SQL
• Design well-structured data models across medallion/lakehouse architecture
• Work with DevOps teams to automate deployments using CI/CD
• Collaborate with stakeholders to understand analytical needs
• Ensure compliance with best practices around data governance, security, and quality

Requirements:

• Strong experience with Databricks (jobs, notebooks, workflows, Delta Live Tables)
• Proficiency in PySpark and Python
• Hands-on experience with Azure Data Lake, Azure Data Factory, or similar cloud services
• Understanding of Delta Lake, streaming pipelines, and lakehouse architecture
• Solid knowledge of data engineering principles (ETL/ELT, modelling, optimisation)

Benefits:

• Salary up to £70,000
• Annual bonus
• Structured career development and funded certifications
• Opportunity to work on high-impact, enterprise-scale data transformation programmes