Paris Data Engineer: Real-Time Pipelines & Trusted Data

The French Sourcer; Paris; Sur place; EUR 75 000 - 110 000; Plein temps

Avantages offerts par ce poste

Health insurance

Meal vouchers

Remote-friendly policy

Résumé du poste

The French Sourcer is seeking a Data Engineer to join our Paris data platform. You will own batch and streaming pipelines, ingest data from multiple sources, and design robust schemas for growing product lines across markets.

Ideal candidates have 4+ years of experience and strong SQL/Python skills, plus hands-on with Airflow, dbt, Kafka, Snowflake or BigQuery. You will collaborate with analysts and data scientists to deliver trusted datasets and scale performance.

Qualifications

• 4+ years of experience building and operating production data pipelines.
• Strong SQL and Python skills.
• Practical experience with Airflow, dbt, Kafka, Snowflake, or similar technologies.
• Good knowledge of data modelling and incremental processing.
• Experience with automated testing, monitoring, and production troubleshooting.
• Understanding of retries, partial failures, late-arriving data, backfills, and pipeline dependencies.
• Experience using Git, code reviews, and CI/CD.
• Confidence working with analysts, data scientists, and engineering teams.
• Ownership of data quality, not just data movement between systems.

Responsabilités

• Building and owning batch and streaming pipelines that feed the company’s core data warehouse.
• Ingesting data from transactional databases, internal services, APIs, and event streams.
• Designing schemas and data models that remain consistent as the business adds new products and markets.
• Developing and maintaining reusable transformation models in dbt.
• Setting up automated checks for freshness, completeness, duplicates, schema changes, and business consistency.
• Monitoring production pipelines and investigating failures across sources, orchestration, transformations, and warehouse workloads.
• Managing retries, late-arriving data, backfills, and historical reprocessing.
• Optimizing pipeline performance, query execution, storage, and compute costs as data volumes increase.
• Planning schema migrations without disrupting downstream users.
• Partnering directly with data scientists and analysts to translate their requirements into reliable datasets.
• Documenting lineage, dependencies, transformation logic, and ownership so critical data can be understood and trusted.
• Contributing to code reviews, automated testing, CI/CD, and data engineering standards.

Connaissances

SQL

Python

Data pipelines

Data modeling

Troubleshooting

Ownership

Outils

Airflow

dbt

Kafka

Snowflake

BigQuery

Git

CI/CD

Description du poste

The French Sourcer is seeking a Data Engineer to join our Paris data platform. You will own batch and streaming pipelines, ingest data from multiple sources, and design robust schemas for growing product lines across markets.

Ideal candidates have 4+ years of experience and strong SQL/Python skills, plus hands-on with Airflow, dbt, Kafka, Snowflake or BigQuery. You will collaborate with analysts and data scientists to deliver trusted datasets and scale performance.