Engineering Manager, Data & Analytics

We’re hiring a Data & Analytics Manager who grows high-impact teams that balance efficiency with excellence, value autonomy and creativity, and thrive in a collaborative, inclusive environment.

Team vision: “Enable rapid innovation through a unified data platform”

Coach and grow engineers through clear expectations, regular feedback, and thoughtful development plans.

We’re hiring a Data & Analytics Manager who grows high-impact teams that balance efficiency with excellence, value autonomy and creativity, and thrive in a collaborative, inclusive environment.
Create an environment where engineers can do focused work, collaborate effectively, and keep improving—without heroics or burnout.
Help build a strong team culture that values autonomy, accountability, and craftsmanship.
Help the team thoughtfully adopt AI-assisted tooling across the software delivery lifecycle to improve developer productivity and code quality.
Lead by example in using AI tools where they add real leverage, and help engineers understand when AI accelerates work—and when human judgment matters most.
Partner with Product and Design to translate goals into a clear plan, then guide the team through execution in a Scrum cadence (planning, delivery, review, retro).
Manage a multi-million dollar product, growing our top and bottom line while improving platform stability
Balance new work, enhancements, bugs, maintenance, and technical debt with sound judgment and transparent trade-offs.
Improve delivery quality and speed over time by reducing friction, improving clarity, and continuously strengthening engineering practices.
Champion strong development practices: code reviews that teach, testing discipline, pragmatic documentation, and maintainable implementations.
Encourage “analytical” thinking - creatively solving data problems for our customers is at the heart of this role.
Champion “you build it, you own it” - Deliver product while balancing technical health
Help the team build healthy on-call and operational practices, including ownership, runbooks, sensible alerting, and effective incident follow-up.
Lead blameless incident reviews focused on learning and systemic improvements.
Improve observability and system health so the team can confidently ship and support the Core product over time. (This role may include on-call participation in the future.)
Collaborate effectively across Engineering, Product, Design, and Support.
Communicate clearly across time zones and contexts—making decisions understandable and durable.

In this role, success typically means:
Your engineers are growing in skill, confidence, and ownership—and they want to stay on your team.
The team ships consistently with high quality, and reliability improves quarter over quarter.
Technical decisions make the analytics product easier to evolve (not harder).
Cross-functional partners trust your team because expectations, trade-offs, and delivery are clear.

Data Warehousing: Databricks and Snowflake.
ELT: Fivetran, DLT, DBT
Visualisation: PowerBI Embed
Backend: C# (.NET)
Previously a Senior+ IC before moving into management (preferably as a data engineer or analytics engineer) .
2+ years experience in Engineering Management.
Proven record leading teams to improve quality and speed through technical + process change.
Depth in distributed systems and data integrity at scale.
Skill planning and delivering sprints with Product and Tech Leads, balancing new work, enhancements, bugs, and maintenance.
Excellent communication across locations/time zones.
Experience in large scale, multi-cloud data warehousing migrations.
Degree in CS or equivalent experience.
Plus if you have accounting domain experience.