Data Engineering Manager: Lead Data Platform & Delivery

PEI Group; Greater London; Ibrido; GBP 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

PEI Group is seeking a Data Engineering Manager in London to lead a multi-disciplinary team including data engineers, QA engineers, data analysts and Dynamics 365 developers. The role is 80% managerial with 20% hands-on delivery, focusing on data quality, governance, and scalable architecture.

You will drive standards, mentor engineers, and collaborate with product and operations to deliver data-driven solutions across the organization.

Competenze

• 8+ years in data engineering or software development.
• Minimum 3 years people management.
• Experience hiring, mentoring and performance management.
• Proven track record leading multi-disciplinary teams.
• Strong understanding of data and software delivery lifecycle.

Mansioni

• Plan, prioritise and deliver data initiatives with stakeholders.
• Manage delivery pipeline across multiple workstreams.
• Enforce coding standards, PR reviews, testing and branching.
• Drive data quality, governance, and platform reliability.
• Lead Databricks and Dynamics 365 workstreams.
• Hire, mentor and performance-manage engineers.
• Collaborate with data science, product, finance, operations.
• Contribute to architecture reviews and debugging production issues.
• Drive continuous improvement through tooling and automation.
• Research new technologies and trends in data engineering.
• Prioritise ad-hoc requests alongside projects.

Conoscenze

Delivery management

Leadership

Agile

Communication

Strumenti

Databricks

Azure Data Factory

Dataverse

Delta Lake

PySpark

Databricks Workflows

Descrizione del lavoro

PEI Group is seeking a Data Engineering Manager in London to lead a multi-disciplinary team including data engineers, QA engineers, data analysts and Dynamics 365 developers. The role is 80% managerial with 20% hands-on delivery, focusing on data quality, governance, and scalable architecture.

You will drive standards, mentor engineers, and collaborate with product and operations to deliver data-driven solutions across the organization.