---
title: "Location Data engineer"
company: "amo"
company_url: "https://www.remjobs.works/companies/amo"
url: "https://www.remjobs.works/job/amo-location-data-engineer-551368f1-ea76-4412-9583-84ceb7799fc5"
apply_url: "https://jobs.ashbyhq.com/amo/6cb7a130-d790-4712-b098-953515c2eb2d"
workplace: onsite
location: "Paris"
employment_type: full-time
seniority: mid
role: data
region: europe
date_posted: 2026-09-23T12:16:57.417Z
first_seen_by_remjobs: 2026-09-23T12:38:01.038Z
---

# Location Data engineer

**amo** · Paris

Apply: https://jobs.ashbyhq.com/amo/6cb7a130-d790-4712-b098-953515c2eb2d

## About amo

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## About the role

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 DataExplore 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 ProductsDesign, 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 & AnalyzingUse 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 IntelligenceWork 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 ImprovementImprove 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.

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Source: amo's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/amo-location-data-engineer-551368f1-ea76-4412-9583-84ceb7799fc5