Lead Data Engineer

Allscreens Nationwide Ltd; Deutschland; Hybrid; EUR 88.000 - 99.000; Vollzeit

Zusammenfassung

Serco is seeking a Lead Data Engineer to act as the technical authority for data engineering, driving architecture across Azure, AWS, and Databricks. You’ll spend around 80% hands-on, designing and building complex enterprise-scale data solutions.

You will also lead people, influence stakeholders, and shape data engineering standards and delivery across the organisation.

Qualifikationen

• Extensive experience in data engineering leadership and architecture.
• Proven ability to design scalable multi-cloud data solutions.
• Hands-on with Databricks and lakehouse architecture.

Aufgaben

• Define and enforce data engineering standards across the organisation.
• Architect and deliver scalable data solutions across Azure, AWS and Databricks.
• Lead complex engineering workstreams and unblock teams.
• Design and govern enterprise data models including lakehouse strategies.
• Champion Databricks as the core data platform and drive multi-cloud consistency.

Kenntnisse

Data engineering

Leadership

Cloud platforms

Databricks

Azure

AWS

Architecture

Stakeholder management

Tools

Unity Catalog

Delta Live Tables

Structured Streaming

MLflow

Jobbeschreibung

Lead Data Engineer Hybrid – Attached to our Solihull, London or Hook office Full Time, Permanent Band 3 / £75,000

- £85,000 (dependent on experience)

Here at Serco, we’re looking for a Lead Data Engineer to act as the technical authority for data engineering, driving architecture, standards, and delivery across a modern multi-cloud ecosystem spanning Azure, AWS, and Databricks.

You’ll spend around 80% of your time hands‑on, designing and building complex, enterprise‑scale data solutions. The remaining 20% is just as critical: leading people, influencing stakeholders, and shaping how data engineering operates across the organisation.

Databricks sits at the heart of our platform

- this role requires someone who can deeply leverage the Databricks to enable scalable analytics, data science, and AI use cases across the business.

As part of this you’ll:

• Define and enforce data engineering standards, patterns, and best practices across the organisation.
• Architect and deliver scalable, resilient data solutions across Azure, AWS, and Databricks, ensuring enterprise‑grade performance and reliability.
• Lead complex engineering workstreams
• unblocking teams, guiding technical decisions, and ensuring high‑quality delivery outcomes.
• Design and govern enterprise data models (conceptual, logical, and physical), including lakehouse zone strategies and schema evolution approaches.
• Champion Databricks as the core data platform, leveraging lakehouse architecture, Unity Catalog, Delta Live Tables, Structured Streaming, and MLflow.
• Drive a consistent multi‑cloud