Enterprise Data Engineering Leader - Azure Databricks

TechYard; Leeds; Vor Ort; GBP 110.000 - 170.000; Vollzeit

Zusammenfassung

TechYard in the United Kingdom seeks an experienced Head of Data Engineering to lead and grow a data engineering function within a major retail business. This senior role shapes strategy, oversees delivery, and drives best practices across an Azure Databricks environment, including governance and cost management.

You will lead internal teams and external delivery partners, establish DataOps standards, and advance data quality and platform performance while collaborating with data science and

Qualifikationen

• Senior leadership experience in data engineering environments.
• Proven track record delivering enterprise-scale data platforms in the cloud.
• Deep knowledge of data governance, quality and DataOps practices.

Aufgaben

• Lead and develop the data engineering function, including internal teams and external delivery partners.
• Own the design, development and delivery of enterprise-scale data products.
• Establish and embed engineering standards, best practices and a robust DataOps operating model.
• Drive improvements across data quality, governance, monitoring and platform performance.
• Oversee data engineering costs, optimisation and delivery efficiency.
• Work closely with senior stakeholders, data science and technology teams.
• Shape the future direction of data applications, ML and AI engineering.
• Proven experience leading enterprise-scale data engineering teams.

Kenntnisse

Leadership

Data architecture

Data governance

DataOps

Performance optimization

Cost management

Stakeholder mgmt

Azure Databricks

CI/CD

Infrastructure as Code

ML/AI exposure

Tools

Delta Lake

Unity Catalog

Databricks Workflows

Delta Live Tables

Lakeflow

MLflow

Jobbeschreibung

TechYard in the United Kingdom seeks an experienced Head of Data Engineering to lead and grow a data engineering function within a major retail business. This senior role shapes strategy, oversees delivery, and drives best practices across an Azure Databricks environment, including governance and cost management.

You will lead internal teams and external delivery partners, establish DataOps standards, and advance data quality and platform performance while collaborating with data science and