Location Data engineer

About the Company

Responsibilities

• ● loring 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.

Requirements

• ● Familiarity with statistics, machine learning, or feature engineering.
• ● 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:
• ● weeks of paid time off;
• ● -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.
• ● 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.