Location Data Engineer: Build Scalable Data Pipelines

amo; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Health care

Relocation assistance

Airbnb covered for arrival

French lessons

Visa sponsorship

Vacation days

Résumé du poste

amo in Paris is seeking a highly skilled Location Data Engineer to transform large-scale datasets into signals and features that power our products. You will build reliable pipelines, explore complex data, and create tools and dashboards to assess quality and impact.

You will work across data lifecycle with Spark, DBT, Dagster, BigQuery, ClickHouse, DuckDB or similar, turning exploratory analyses into production-ready pipelines.

Qualifications

• Strong software engineering fundamentals and experience with data-intensive systems.
• Very comfortable with SQL and manipulating large datasets.
• Experience with modern data technologies (Spark, DBT, Dagster, BigQuery, ClickHouse, DuckDB).
• Strong analytical skills and curiosity to test hypotheses with data.
• Able to turn exploratory analysis into reliable, production-ready pipelines.

Responsabilités

• Make sense of large, complex datasets and derive useful signals.
• Build, maintain and scale data pipelines processing high volumes of data.
• Prototype ideas on historical data and productionize them with robust pipelines.
• Create datasets/features powering products, analytics and ML models.
• Collaborate with product, engineering and data teams to improve products.

Connaissances

Software engineering

SQL

Data technologies

Analytical thinking

Production pipelines

Data modeling

Visualization

Outils

Spark

DBT

Dagster

BigQuery

ClickHouse

DuckDB

Description du poste

amo in Paris is seeking a highly skilled Location Data Engineer to transform large-scale datasets into signals and features that power our products. You will build reliable pipelines, explore complex data, and create tools and dashboards to assess quality and impact.

You will work across data lifecycle with Spark, DBT, Dagster, BigQuery, ClickHouse, DuckDB or similar, turning exploratory analyses into production-ready pipelines.