5 days ago
Hove, United KingdomStaff+
Responsibilities
- Lead Hove-based data engineering teams and shape solution direction, delivery approaches, engineering standards, and technical outcomes.
- Own local engineering delivery assurance, governance, design reviews, and commercially sound technical decisions.
- Grow the Hove-based capability through recruitment, junior talent programmes, onboarding, mentoring, and community engagement.
- Modernise a mixed estate spanning legacy systems, cloud platforms, and contemporary data engineering practices.
- Build trusted relationships with clients, partners, internal stakeholders, senior leaders, and delivery teams.
- Identify and shape growth opportunities, including new work, capability development, bid support, and wider use of data engineering capability.
- Own the capability, quality, and engineering outcomes of Hove-based work and contribute to engineering culture across the wider practice.
Requirements
- Strong experience as a senior data engineer or engineering lead, with ownership of complex data delivery across multiple teams, projects, or programmes.
- Experience mentoring, coaching, recruiting, or developing engineers and helping teams work within a wider engineering community.
- Deep knowledge of data integration, transformation, orchestration, modelling, quality, observability, performance, security, and operational support.
- Credibility across modern data platforms and cloud technologies, with pragmatism in enterprise and legacy environments.
- Experience setting, governing, and improving engineering standards, quality controls, reusable patterns, and delivery processes.
- Strong stakeholder management and communication skills, including the ability to explain complex technical issues and build trust with senior clients and leaders.
- Commercial awareness and the ability to balance quality, cost, maintainability, profitability, delivery confidence, and client satisfaction.
- Relevant experience with SQL, data modelling, ETL/ELT, data pipelines, batch and real-time integration, AWS cloud data platforms, and analytical platforms.
- Experience with Python, Bash or other scripting and automation approaches, workflow orchestration and scheduling tools, and enterprise platforms such as Oracle, Cloudera, SAS, Denodo, or Power BI.
- Ability to meet the requirements for UK Security Check clearance, including continuous UK residence for the last five years.
Benefits
- Hybrid working across company offices, client sites, and home, with the expectation that the role cannot be performed 100% remotely.
- Expected attendance at the Hove office for approximately 40–70% of working time.
- Opportunities to build data engineering capability, develop technical and leadership skills, and work with clients across transformation programmes.
- Capgemini is a Disability Confident Employer and offers an interview to eligible candidates who declare a disability and meet the minimum essential criteria.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.