Engineering Manager

This is initially C2H for 6 months, then will be taken into direct payroll

Responsibilities

• Lead the design and implementation of large-scale data engineering projects, including

data lakes and data pipelines on cloud platforms like AWS, Azure, or GCP.

• Drive the pre-sales process by engaging with clients, understanding requirements, and

developing technical proposals and proof of concepts (PoCs).

• Manage end-to-end programme delivery across all sprints: sprint planning, backlog prioritisation, velocity tracking, and milestone governance for a distributed team of data engineers, leads, and analysts.
• Act as the primary escalation point for blockers and dependencies; coordinate environment readiness and release scheduling with the DevOps Engineer.
• Drive stakeholder communication, change-request management, and progress reporting.
• Champion continuous improvement Agile best practices, documentation quality, and a high-performance delivery culture across the offshore-onshore team.

Required Skills

• Proven experience managing distributed data engineering teams in an Agile / Scrum framework using JIRA and Confluence.
• Sufficient GCP data engineering knowledge to assess technical risks, facilitate architecture discussions, and manage delivery trade-offs.
• Strong stakeholder management and executive reporting skills; experience managing client expectations in fixed-scope engagements.
• Servant-leadership mindset with expertise in offshore / onshore team coordination, time-zone management, and knowledge transfer.
• Excellent communication skills to effectively interact with stakeholders, clients, and
• technical teams.
• 810 years of professional experience, including delivery and engineering management of data engineering or data platform programs, with hands-on involvement in at least one data lake implementation.