Hybrid Head of Data Engineering

Posted 4 hours ago

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About the role

  • Head of Data Engineering at Envitia overseeing data architecture services for public sector programs. Leading service mobilization with client stakeholders in a hybrid work environment.

Responsibilities

  • Act as Envitia’s senior commercial and delivery lead for Data Engineering and Data Architecture services across major public sector programmes and frameworks.
  • Serve as the primary senior interface with client stakeholders and prime contractors, ensuring expectations are managed and contractual commitments are met.
  • Shape and support new work with clients and partners, including feasibility assessments, impact analysis and costed Statements of Work.
  • Lead the mobilisation and transition of services into complex enterprise and prime‑led delivery environments, ensuring readiness for service acceptance and go‑live.
  • Maintain oversight of delivery performance, ensuring outcomes are achieved to agreed time, cost and quality, and that live services are protected during transition.
  • Establish and uphold effective governance, assurance, decision‑making and escalation processes aligned to client security, data governance and operational standards.
  • Provide senior leadership across Envitia’s data engineering capability, setting direction, anticipating demand and aligning resourcing, skills and partners to delivery needs.
  • Identify opportunities to grow Envitia’s footprint by demonstrating delivery excellence, trusted advisory capability and strong client relationships.

Requirements

  • Senior leadership experience in data engineering or large‑scale data platform delivery within complex client environments
  • Strong commercial acumen, including shaping work, estimating, and managing delivery against contractual commitments
  • Proven ability to operate at programme or portfolio level, coordinating multiple teams and stakeholders
  • Experience working with prime contractors and enterprise scale clients, navigating governance and assurance frameworks
  • Sufficient technical depth to credibly engage on data platforms, pipelines, architectures, and delivery risks.
  • Familiarity with enterprise data platforms, cloud ecosystems (AWS), and modern data engineering practices.

Benefits

  • Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days
  • Private Healthcare: Comprehensive coverage with additional options for family members
  • Training & Skills Development: Ongoing learning opportunities to help you advance your career
  • Fitness Reimbursement: Support for gym memberships or fitness-related expenses
  • Life Assurance: Extensive life insurance coverage for peace of mind
  • Pension Contribution: Competitive options to help you plan for a secure financial future
  • Perkbox Subscription: Discounts on a wide range of products and services
  • Flexible Work Arrangements: Designed to support work-life balance and personal commitments
  • Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements
  • Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs

Job title

Head of Data Engineering

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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