Head of Data Engineering

Tenth Revolution Group; City Of London; Remote; GBP 85,000 - 100,000; Full time

Job summary

A forward-thinking organisation in the UK is seeking a Head of Data Engineering to lead its growing data function. You'll mentor a team and architect scalable solutions with Azure and Databricks. Ideal candidates have proven leadership experience and strong technical skills in data engineering. Competitive salary up to £100,000, alongside a collaborative culture and opportunities for impact.

Benefits

Competitive salary up to 100,000

Discretionary Bonus

Opportunity to shape data landscape

Qualifications

• 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.

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.

Skills

Leadership

Azure Data Services

Databricks

Stakeholder Management

Communication Skills

Job description

Head of Data Engineering - Azure & Databricks - Remote - 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.

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.

Benefits:

• Competitive salary up to 100,000.
• Opportunity to shape the data landscape of a forward-thinking organisation.
• Discretionary Bonus.
• And more.