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# Data Engineer M/F

- **Company:** Accenture
- **Location:** Brussel, Belgium (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Cleansing, Data Infrastructure, Python (Programming Language), Standard Sql, SQL Databases, Data Streaming, Enterprise Data Management, Data Processing, Data Management, Dataiku, Data Pipelines
- **Published:** May 21, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=7651d3dbfe527813

## About the Role

Do you have experience in SQL?, * Proven experience as a Data Engineer

 * Strong expertise in Python and SQL
 * Hands-on experience with AWS in data-related projects
 * Solid practice of Apache Airflow for pipeline orchestration
 * Experience with Dataiku is a strong plus
 * Comfortable working in complex and structured data environments
 * Professional proficiency in French and English (written and spoken)

Expected Soft Skills

 * Strong communication skills and team spirit
 * Ability to interact with both technical and business stakeholders
 * Autonomy, rigor, and sense of responsibility
 * Analytical mindset with a solution-oriented approach
 * Proactive attitude and ability to make proposals

## Description

* Design, develop, and maintain robust and scalable data pipelines in a cloud environment
 * Industrialize data flows including ingestion, transformation, and exposure
 * Deploy and orchestrate data workflows using Apache Airflow
 * Develop data processing solutions using Python and SQL
 * Work on an AWS Cloud data stack (storage, processing, managed services)
 * Contribute to data projects using Dataiku (data preparation, industrialization, collaboration with business teams)
 * Ensure data quality, reliability, traceability, and monitoring across the platform

Technical Environment

 * Languages: Python, SQL
 * Cloud: AWS
 * Orchestration: Apache Airflow
 * Data Platform: Dataiku
 * Context: Enterprise data environments, multi-source data, high data volumes

Work Conditions

The position is based in Brussels (Belgium) and follows a hybrid work model, with 2 days per week on the client site and the remaining days working remotely, fostering collaboration and strong team synergies.


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