# Location Data engineer at amo > Open job at amo in Paris, France. Workplace: On-site. Source: France Dev Jobs, https://francedevjobs.com/jobs/amo-location-data-engineer-hangakw Posted 23 September 2026. Last checked on the employer's career site: 10 November 2026. ## Facts - Company: [amo](https://francedevjobs.com/companies/amo) - Location: Paris, France - Workplace: On-site - Employment type: Full-time - Apply from: Anywhere - French: Not required - Visa sponsorship: Yes - Relocation support: Yes (company policy) - Skills: BigQuery, ClickHouse, SQL, Spark, dbt - Not mentioned in the job post: salary ## Job description We are seeking a highly skilled Location Data Engineer to join our team. In this role, you will work with large-scale datasets generated by our products and turn raw data into meaningful signals, insights, and features. You will work across the entire data lifecycle: building reliable pipelines, exploring and understanding complex datasets, developing features from them, and creating the tools and visualizations needed to understand their quality and impact. This is a technical and product-oriented data role. You'll collaborate closely with product, engineering, and data teams to find what we can learn from our data and turn those learnings into production systems. ### As a Data Engineer, your day-to-day will include: - **Making Sense of Data** - Explore large and complex datasets to understand user behavior and identify useful patterns and signals. - Transform raw data into reliable, well-defined features that can be used by our products and engineering teams. - Develop a deep understanding of our data: where it comes from, what it represents, its limitations, and how it can be combined to answer new questions. - **Building Data Products** - Design, build, and maintain pipelines that process large volumes of data efficiently and reliably. - Take ideas from exploration to production: prototype them on historical data, evaluate their quality, and build the pipelines needed to run them at scale. - Build datasets and features that can power product experiences, internal systems, analytics, and machine learning models. - Work with technologies such as Spark, DBT, Dagster, BigQuery, ClickHouse, DuckDB, or similar tools depending on the problem at hand. - **Exploring & Analyzing** - Use data to investigate hypotheses, understand behaviors, and answer ambiguous questions. - Develop metrics and evaluation frameworks to understand whether the signals and features we build actually work. - Create analyses, dashboards, and visualizations that make complex datasets understandable and help the team make better decisions. - Build tooling that makes it easier to inspect individual examples, debug data pipelines, and understand why a system produces a particular result. - **From Data to Intelligence** - Work closely with engineers and product teams to identify opportunities where data can make our products smarter. - Use statistical methods, heuristics, experimentation, or machine learning depending on what is most appropriate for the problem. - Iterate on features and models based on real-world data and continuously improve their accuracy and reliability. - Help bridge the gap between exploratory data work and robust systems running in production. - **Continuous Improvement** - Improve the performance, reliability, and maintainability of our data infrastructure. - Monitor data quality and proactively investigate unexpected changes or anomalies. - Stay up to date with developments in data engineering, analytics, and machine learning, and bring relevant ideas and technologies into our stack. - Contribute to a culture of curiosity, craftsmanship, and learning. ### Your Skills & Experience - Strong software engineering fundamentals and experience working with data-intensive systems. - Very comfortable with SQL and manipulating large datasets. - Experience with one or more modern data technologies such as Spark, DBT, Dagster, BigQuery, ClickHouse, DuckDB, or equivalent tools. - Strong analytical skills: you enjoy digging into data, testing hypotheses, and understanding why something behaves the way it does. - Ability to turn exploratory analysis into reliable, production-ready data pipelines and features. - Familiarity with data modeling, pipeline orchestration, and large-scale data processing. - Ability to communicate findings clearly through metrics, visualizations, dashboards, or other tools. ### Preferred Qualifications - Experience building data products or features directly used by consumer-facing products. - Experience working with high-volume event, behavioral, sensor, geospatial, or time-series data. - Familiarity with statistics, machine learning, or feature engineering. - Experience taking a data problem from an ambiguous question through exploration, prototyping, evaluation, and production. - Experience building internal tools or visualizations for exploring and debugging complex datasets. ### Life at amo To ensure that everyone is set up for success within our way of working, we work together onsite 5 days a week. We wanted to make sure coming to the office was as comfortable as possible for you: We chose a location in central Paris, near Opéra (Metro lines 3, 8, 9 and RER A). We have a beautiful Parisian-style office with high ceilings, balconies, and huge windows. So a lot of natural light! Because life outside of work should also be stress-free, we cover: - Health care (100% coverage). - Maternity Leave, Paternity Leave, Second Parent Leave (salary maintained at 100%). - Vacation days: 8–9 weeks (total) per year: - 5 weeks of paid time off; - 1–2 additional weeks (RTT, based on our company contract); - ~11 bank holidays. We shut down entirely twice a year, two weeks in summer and one week in winter, to allow everyone to truly recharge and avoid prolonged slowdowns. These pauses are part of your total vacation time, giving everyone a real chance to unplug and recharge. No Slack, no email, no FOMO. We love the diverse perspectives we get from having people from all over the world join us (68% of our team is international), and so we of course support relocation to Paris with: - Help and sponsored visa process. - 1 month of Airbnb 100% covered by amo upon arrival. - Assistance from a trusted relocation agency to find your permanent home. - Help with French paperwork like opening a French social security account, tax forms, getting your carte vitale (free healthcare), and more. - French lessons to be fully set with your new Parisian life. ## How to apply Apply on the job page, https://francedevjobs.com/jobs/amo-location-data-engineer-hangakw: its Apply button opens the employer's own application page. ## More jobs from amo - [Senior Search Engineer](https://francedevjobs.com/jobs/amo-senior-search-engineer-3n6k24s): amo, Paris, France. On-site. Posted 30 July 2026. - [Data Engineer, Places](https://francedevjobs.com/jobs/amo-data-engineer-places-zdz8nb8): amo, Paris, France. On-site. Posted 30 July 2026. - [Senior Data Engineer](https://francedevjobs.com/jobs/amo-senior-data-engineer-rq4r0os): amo, Paris, France. On-site. Posted 30 July 2026. - [Senior Software Engineer, Backend (Rust)](https://francedevjobs.com/jobs/amo-senior-software-engineer-backend-rust-hxekg1m): amo, Paris, France. On-site. Mentions visa sponsorship. Posted 25 May 2026. - [Location Platform Engineer](https://francedevjobs.com/jobs/amo-location-platform-engineer-thxdk7i): amo, Paris, France. On-site. Mentions visa sponsorship. Posted 19 March 2026.