Lead Analytics Engineer

Lead Analytics Engineer (F/M/X)

Full remote · Europe · Product & Engineering

Who are we?

In 2017, after more than ten years in the lift industry across Europe and Asia, Benoît Dupont noticed a system stuck in its ways, where speed takes priority over quality and frontline teams remain invisible.

With Jade Francine, he founded WeMaintain to put technology and trust back into building maintenance, and the people doing the work back at the centre of it. Their ambition: give technicians back their autonomy, build the IoT technology in-house, and design the service around the people who use it.

Based in Paris, London, Singapore and Hong Kong, we maintain lifts, escalators, automatic doors and fire safety systems. With 350+ employees, we combine on-the-ground expertise with data-driven management to deliver maintenance that performs and that our clients can see into.

In April 2026, Otis, the world's largest elevator and escalator company, became our majority shareholder. We keep running as we always have: same team, same brand, same mission. What changes is the scale of what we can go after, and the means behind us to do it.

Why join us?

Because here, you don't have to choose between impact and stability.

Large groups tend to offer stability with little room to manoeuvre. Smaller organisations offer more freedom, sometimes without clear direction. We aim to sit between the two:

• Autonomy, with the tools and the support to use it

• A culture built on trust and transparency

• Opportunities for growth and internal mobility

• A team that values commitment and follow-through

And our values guide us every day:

• Care: Working with respect and kindness, internally as well as with our customers

• Grit: Seeing things through, with high standards and determination

• Uniqueness: Daring to be yourself, sharing your ideas and challenging the status quo

Who we're looking for

We are looking for a Lead Analytics Engineer to be the right hand of our CTO on data, and the right hand of our Global Head of Operations on making a 350-person, four-country operation data-driven.

It is one job made of two halves. If what you want is to go deep on modelling and be left alone, this is not the role. Roughly half of it is sitting with Operations, in the UK, France, Singapore and Hong Kong, arguing about what we should be measuring and why, and then being the person who makes that measurable.

We're not starting from scratch. There's a data lake, dbt on BigQuery, Looker on top, and it works. Software engineers, Data scientist and even some business champions commit to it daily. Nobody owns all of it though, which is where you come in.

This is a hands-on individual contributor role with no direct reports. You will not manage a team, and we are not planning to build one under you. You will set the standard for how data lands in our lake and how it gets used, and hold the rest of the engineering team to it.

You’ll join a Product & Engineering team of around 20 people, growing by 50% over the next year.

Your day-to-day at WeMaintain

As Lead Analytics Engineer, you will:

• Bring new data into the lake, constantly. This is the steady heartbeat of the role: new sources, new fields from sources we already have, new needs from every part of the business. None of it is rocket science, but our business is a dense one. Four countries, thousands of buildings, an IoT fleet, field engineers, contracts, regulation. Modeling it well is the hard part.

• Own the modeling layer. dbt on BigQuery today: models, tests, documentation, reliability. You decide how it evolves, including whether dbt is still the right answer in two years, or when the IoT fleet has grown tenfold.

• Define what "good" looks like for our operational KPIs. Our field and operations teams know their business better than anyone. What they don't have is someone technical standing next to them, turning that knowledge into numbers everyone trusts. You'll be that person, with Marine, our Global Head of Operations, as your closest counterpart: deciding what we count, how we count it, and what a result has to show before it means we're winning.

• Help one standard become true in four countries. We operate in the UK, France, Singapore and Hong Kong, and good practice invented in one of them should become how the whole group works. Spotting it and rolling it out is Operations' call. Making sure it's made on evidence rather than instinct, and that we can tell afterwards whether it worked, is yours.

• Build the analysis the business doesn't have yet: client churn prediction, contract-level economics, engi