Senior Data Strategy & Engineering Lead

Capgemini

Telford

Hybrid

GBP 90,000 - 130,000

Full time

27 hours ago
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Job summary

Capgemini UK is seeking a Data Engineering Strategy Lead to shape and drive the engineering strategy for the Data & Intelligence Portfolio. You will assess emerging work, identify required skills and leadership, and translate these findings into a clear roadmap for portfolio demand, capabilities, and investment.

You will deliver technical leadership across data engineering, architecture, testing, analytics, operations, automation, AI-assisted engineering, DevOps and cloud-first delivery while

Qualifications

  • Extensive experience in Data Engineering, Architecture, or Data Technology leadership roles.
  • Experience operating across large-scale data programmes or portfolios.
  • Proven ability to assess ambiguous or emerging demand and translate this into a practical roadmap.

Responsibilities

  • Define and shape opportunities for growth within the Data & Intelligence Portfolio.
  • Translate future work into a clear portfolio demand roadmap and investment priorities.
  • Provide technical leadership across data engineering, architecture, testing, analytics, and cloud-first delivery.
  • Mentor senior engineers and future technical leaders; drive continuous learning and capability development.
  • Influence senior stakeholders and drive engineering capability growth.

Skills

Strategic thinking
Technical leadership
Commercial awareness
Consultancy and stakeholder management
Influencing and negotiation skills

Tools

SQL
Cloud platforms

Job description

Capgemini UK is seeking a Data Engineering Strategy Lead to shape and drive the engineering strategy for the Data & Intelligence Portfolio. You will assess emerging work, identify required skills and leadership, and translate these findings into a clear roadmap for portfolio demand, capabilities, and investment.

You will deliver technical leadership across data engineering, architecture, testing, analytics, operations, automation, AI-assisted engineering, DevOps and cloud-first delivery while

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