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# Senior Data Engineer

- **Company:** Progress Partners
- **Location:** Inconnu, France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Google AdWords, Airflow, Amazon Web Services, BigQuery, Data Infrastructure, Google Analytics, PostgreSQL, MongoDB, Operational Data Store, Operational Databases, BIG-IP Global Traffic Manager (GTM), Data Ingestion, Apache Spark, Build Management, Stripe, Apache Flink, Amplitude Analytics
- **Published:** July 4, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=cc628d058e1c9580

## About the Role

* 3+ years building production data platforms and pipelines from the ground up.
 * Deep expertise in Dagster or Airflow, including lineage, backfill, and retry strategies.
 * Hands-on experience with dbt or SQLMesh, version-controlled transformations.
 * Strong AWS and GCP skills, with Terraform for infrastructure as code and a cost-conscious (FinOps) approach.
 * Strong written communication and the ability to work autonomously in a remote, async environment., * Familiarity with data mesh principles, domain ownership, or data product design.
 * Experience with Apache Spark or Flink for large-scale compaction workloads.

## Description

We're looking for a Senior Data Engineer to build our data platform from scratch, a rare greenfield opportunity to make the foundational architecture calls yourself. You'll design the pipelines that bring together high-volume payment transactions, marketing analytics, and operational data across AWS and GCP into a unified Lakehouse. This is a hands-on, ownership-heavy role., * Design and build ingestion pipelines for high-volume payment data (Stripe, PayPal, Solidgate), marketing analytics (GA4, GTM, Google Ads, Amplitude), and operational databases (MongoDB, PostgreSQL).

 * Build the data infrastructure for a Lakehouse using AWS and GCP.
 * Build medallion-layer transformation models (Bronze Silver Gold) in dbt or SQLMesh, with payments on Redshift and marketing on BigQuery.
 * Own orchestration end-to-end in Dagster or Airflow, lineage, sensors, backfills, retries, and alerting across the full asset graph.
 * Implement infrastructure as code best practices, cost controls etc.


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