Job Description
This role will translate the organisation’s data strategy and platform roadmap into predictable execution while building a high-performing and engaged engineering team.
What You’ll Do
People and Team Leadership
- Lead, coach and develop Data Engineers across multiple levels.
- Own performance management, career development, succession planning and retention.
- Drive hiring, onboarding and capability development.
- Build clear ownership, accountability and a strong engineering culture.
- Maintain team health through regular feedback, workload management and people pulse actions.
Delivery and Execution
- Convert the platform roadmap into clear quarterly plans, milestones and measurable outcomes.
- Own delivery predictability, execution governance, dependency management and risk escalation.
- Coordinate execution across Product, Analytics, Finance, Risk, Security, Infrastructure and application engineering teams.
- Establish effective planning, design review, operational review and incident-management practices.
- Reduce unplanned work by addressing recurring incidents, operational gaps and manual dependencies.
Platform Reliability and Operational Excellence
- Improve the reliability, availability, data quality and observability of critical data products and pipelines.
- Establish appropriate SLIs, SLOs, ownership and on-call practices for critical data services.
- Drive root-cause closure and ensure production learnings translate into engineering improvements.
- Strengthen security, governance, compliance and cost controls across the data platform.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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