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Lead Analytics Engineer

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EMP:Marketing
London
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MUBIMUBI is a global streaming service, production company and film distributor dedicated to elevating great cinema

To make this possible, we create, curate, acquire and champion visionary films, bringing them to audiences all over the world.

We have a team of brilliant, dedicated and passionate people to help bring our mission to life.

From London to New York, Istanbul to Paris, and Berlin to Mexico - we work together to realize MUBI’s vision.

That’s where you come in! Join our global team and help us make great cinema accessible to everyone, everywhere.

About the RoleWe're looking for a Lead Analytics Engineer to own the data layer that powers analytics, data science, and self-serve reporting at MUBI.

This is a hands-on, senior individual contributor role reporting to our Head of Data.

You'll set the technical bar for the discipline: owning our core data models, evolving the semantic layer that lets teams answer their own questions in Omni, and making trusted, self-serve data the default across the company.

You'll partner directly with data scientists, engineers, and business stakeholders to turn ambiguous questions into well-governed data products and dashboards that drive real decisions.

  • Leadership here is technical, not managerial.

You'll raise the bar through the standards you set, the code you review, and the people you level up - but this role has no direct reports.

Because data directly shapes how we acquire, retain, and delight film lovers, this role has real commercial reach - influencing decisions across product, marketing, finance, personalisation, and content.

We work hybrid-remote where we require 3 office days in London.

Our core days are Tuesday, Wednesday & Thursday, with the flexibility to use our offices on the remaining two days if you wish.

Where you’ll have impact:Own the dbt modelling layer.

Design and build our core, mission-critical models and the standards, tests, and documentation that keep them reliable and performant as we scale.

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