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Capgemini

Global consulting, technology services, outsourcing

Data Engineering Strategy Lead

Engineering LeadershipUpdated on Nov 11
Full-timeNo salary listed

About the Job

Requirements

  • Extensive experience in Data Engineering, Data Architecture, or Data Technology leadership roles.
  • Experience operating across large-scale data programmes or portfolios.
  • Proven ability to assess ambiguous or emerging demand, define the strategic response, and translate it into a practical roadmap of portfolio requirements.
  • Experience building and growing technical communities.
  • Experience influencing senior stakeholders and leadership teams.
  • Demonstrable leadership of engineering transformation, modernisation, or capability improvement initiatives.
  • Strong understanding of modern data integration and ETL/ELT platforms.
  • Strong understanding of SQL and data modelling.
  • Strong understanding of cloud data platforms and services.
  • Strong understanding of DevOps, CI/CD, and automation approaches.
  • Strong understanding of data architecture and data engineering best practices.
  • Strong understanding of AI-enabled engineering approaches.
  • Strong understanding of data governance and data quality principles.
  • Ability to demonstrate strategic thinking, technical leadership, commercial awareness, consultancy and stakeholder management, and influencing and negotiation skills.
  • Must obtain Security Check (SC) clearance and have resided continuously within the United Kingdom for the last 5 years.

Responsibilities

  • Identify and shape opportunities for growth, including new work, capability development, bid support, and stronger use of data engineering capability across the wider Insights & Data Practice.
  • Clarify new work, identify stakeholders to engage, and define the technical, delivery, and leadership skills required for successful delivery.
  • Translate future work and capability requirements into a roadmap of portfolio demand, skills, and investment priorities.
  • Define and maintain Data Portfolio engineering capability requirements and identify capability gaps across the portfolio.
  • Support permanent, contractor, graduate, apprentice, and partner talent.
  • Provide leadership across data integration, data engineering, data architecture, data quality and testing, data analytics, reporting and visualization, and operations and support.
  • Establish engineering standards, best practices, and guardrails.
  • Drive adoption of modern engineering approaches, automation, AI-assisted engineering, DevOps, and cloud-first delivery models.
  • Promote engineering excellence, innovation, and continuous improvement across the portfolio.
  • Mentor senior engineers and future technical leaders.
  • Drive a culture of continuous learning and professional development.
  • Support succession planning for critical engineering leadership roles.
  • Act as a trusted advisor to senior portfolio and practice leadership.
  • Bring stakeholders together early to assess emerging work, shape solutions, and agree the skills, leadership, and capability required.
  • Influence investment decisions relating to engineering capability growth.
  • Work closely with Delivery Managers and Chief Engineers to address emerging demand and risks.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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