> Markdown version of [/jobs/ext/4119842-lead-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/4119842-lead-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Analytics Engineer - **Company:** WeMaintain - **Location:** Berlin, Germany (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 16, 2026 - **Apply:** https://www.adzuna.de/details/5931340604 ## 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 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. We don't expect you to have seen everything already. We do expect you to ramp fast and take ownership quickly. ## Description 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, 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., * 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.