Director of Data Engineering

We’re operating modern, secure data and analytics platforms that make it easy for teams to use trusted data for analytics, AI, and decision-making.

You’ll work with us to grow and support an engineering organisation of ~30 people, shaping a platform that operates as a product – is reliable, well‑governed, and delightful to use. If you’re excited about scaling teams, simplifying complexity, and delivering clear outcomes, we’d love to hear from you!

What you’ll do

Lead with impact

• Partner with us to set a clear vision and roadmap for our cloud data and analytics products (e.g., Snowflake, Microsoft Fabric, AWS), aligned to business value.
• Champion the creation of digital, developer-centric platform-as-a-product which provide opinionated self‑service capabilities
• Prioritise customer outcomes and a product mindset: clear ownership, measurable outcomes, and continuous feedback loops.
• Grow an inclusive, high‑performing engineering team; coach leaders, hire thoughtfully, create a culture of learning and psychological safety.
• Create a coherent, coordinated engineering organisation across BI, data management, analytics and data governance - driving one way of working and shared standards.

Design for trust, reliability, and scale

• Embed governance, security, privacy, and compliance from the start using tools such as Microsoft Purview and Collibra.
• Simplify data ingestion from diverse sources with resilient real‑time and batch pipelines.
• Define and uphold standards for reliability, disaster recovery, and data quality—minimising data loss and downtime.

Enable great engineering

• Uplift engineering craft and consistency: modern software engineering practices, well‑defined interfaces/APIs, automated testing, CI/CD, and operational excellence.
• Drive platform reuse over one‑off delivery: shared building blocks, reference implementations, and inner‑sourcing where it reduces cost and improves quality.
• Promote practical, modern data engineering practices (e.g., Python, Spark, dbt) through architecture reviews, coaching, and automation.
• Measure what matters: use OKRs, KPIs, and service metrics (SLOs/SLIs) to guide decisions and improve outcomes.
• Build strong relationships with partner teams in Sales, Operations, Finance, Risk, and HR—and with suppliers—so delivery is predictable and trusted.
• Build a high‑performance delivery culture: predictable planning, clear ownership, fast feedback, and transparency on delivery, reliability, and customer impact.

About you

We welcome different paths and experiences. You don’t need to tick every box to apply—if you’re close, we’d love to talk.

• You’ve led senior engineering teams to deliver large‑scale cloud data platforms with clear business impact.
• You’re comfortable making and explaining architectural decisions, and you create space for others to contribute.
• You bring de...

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