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# Lead Analytics Engineer H/F

- **Company:** Wemaintain
- **Location:** Paris, France (Remote available)
- **Experience:** Expert
- **Salary:** €80,000 - €105,000
- **Contract:** Permanent contract
- **Skills:** Data Analysis, BigQuery, Extract Transform Load (ETL), Operational Data Store, SQL Databases, Data Lakes, Data Analytics, Looker Analytics
- **Published:** October 28, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/84850038.html

## About the Role

Have done both halves. You've written the pipeline and you've sat in the room where the business decided what to do about the result. Neither one feels like someone else's job to you.

Are fluent in SQL, data lakes, transformation and ETL. We care much less about which tools you learned them in.

Are comfortable being the standard-bearer without the authority. Influence and credibility, not a reporting line.

Can tell an operator they're measuring the wrong thing and be listened to, because you understood their problem first.

Bring structure to messy operational data and are not upset when reality refuses to be clean.

Are at ease working fully remotely across four countries and two continents, and take the initiative to stay close to people.

We do not require experience with our specific stack. If you've never touched dbt, BigQuery or Looker but you've built and owned the equivalent elsewhere, we want to talk to you.

English is the working language of this role.

 - You've started, run or helped build something of your own, and you judge your work by what it changed rather than the code you wrote.
 - You've worked in an operations-heavy business: field service, logistics, industrial, energy, anywhere the data describes physical things happening in the world.
 - You've worked with IoT or time-series data.
 - You have hands-on experience with dbt, BigQuery or Looker.
 - You've introduced AI tooling into a data team in a way that stuck.
 - You've worked across multiple countries and know how differently the same process can look in each one.

You've started, run or helped build something of your own, and you judge your work by what it changed rather than the code you wrote.

You've worked in an operations-heavy business: field service, logistics, industrial, energy, anywhere the data describes physical things happening in the world.

You've worked with IoT or time-series data.

You have hands-on experience with dbt, BigQuery or Looker.

You've introduced AI tooling into a data team in a way that stuck.

## Description

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

With , 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.

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

Autonomy, with the tools and the support to use it

A culture built on trust and transparency

Opportunities for growth and internal mobility