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# Senior Data Engineer full remote english speaker

- **Company:** Craftman data
- **Location:** France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Data Dictionary, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Mart, Data Warehousing, Scrum Methodology, Role-Based Access Control, Power BI, Sql Optimization, Snowflake, Data Strategy, Git, Qlikview, Star Schema, Data Pipelines
- **Published:** June 29, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=c6e18e337e031135

## About the Role

Do you have experience in Security?, You should have strong data engineering, architecture and large-scale platform expertise with advanced SQL and dimensional modelling skills. Proven ETL/ELT design experience with Apache Airflow, dbt and Snowflake is required (Snowflake preferred). You must have cloud experience with AWS, Azure or equivalent, and knowledge of the modern data stack. Data governance, lifecycle management, security and RBAC expertise is essential. You should be proficient with Git, CI/CD, and Agile/Scrum methodologies. Strong problem-solving abilities and clear communication with technical and business stakeholders in international, distributed teams are required. A minimum of 8+ years of experience is required for this senior-level position.

## Description

* Design scalable multi-layer architectures (raw / curated / consumption) aligned with the company's global data strategy
 * Develop and optimise ETL/ELT pipelines with reusable transformation logic
 * Build dimensional models (star schema, data marts); standardise KPI-ready datasets
 * Ensure data quality, governance, security and RBAC
 * Enforce standards with Airflow and dbt; optimise Snowflake pipelines/queries for performance and cost
 * Collaborate with BAs, Product Owners and stakeholders; document and support knowledge transfer

Main deliverables include end-to-end architecture and layer design; source-to-target mapping and technical design docs; production-ready ETL/ELT pipelines and Airflow DAGs with monitoring, error handling and retry logic; Snowflake fact/dimension models and certified data marts; data dictionary; data quality rules, validation scripts and observability/alerting; RBAC and lineage documentation; query and cost optimisation; exposed datasets for Qlik/Power BI; DEV?UAT?PROD release packages; testing, reconciliation and UAT support; runbooks, handover and knowledge-transfer sessions.


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