Location Data engineer

The role

You will work with large-scale datasets to turn raw data into signals, insights, and features. You will build reliable pipelines, develop features, and create tools and visualizations across the entire data lifecycle.

What you will do

• Explore large and complex datasets to understand user behavior.
• Transform raw data into reliable, well-defined features.
• Design, build, and maintain pipelines that process large volumes of data.
• Prototype ideas on historical data and build pipelines to run them at scale.
• Build datasets and features for products, internal systems, analytics, and machine learning models.
• Use data to investigate hypotheses and answer ambiguous questions.
• Develop metrics and evaluation frameworks.
• Create analyses, dashboards, and visualizations.
• Build tooling to inspect examples and debug data pipelines.
• Improve the performance, reliability, and maintainability of data infrastructure.

Required qualifications

• 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.
• 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.

Nice to have

• 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.

Benefits

• Health care (100% coverage).
• Maternity Leave, Paternity Leave, Second Parent Leave (salary maintained at 100%).
• 8–9 vacation days per year including 5 weeks of paid time off, 1–2 additional weeks of RTT, and ~11 bank holidays.
• Company shuts down entirely twice a year (two weeks in summer and one week in winter).
• Help and sponsored visa process.
• 1 month of Airbnb 100% covered upon arrival.
• Assistance from a relocation agency to find a permanent home.
• Help with French paperwork.
• French lessons.

Before you apply

• Support relocation to Paris with help and sponsored visa process.

About the company

amo is a company with an international team where 68% of the team is international.