Data Engineer M/F

Accenture Belgium; Brussel Hoofdstad; Hybride; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Accenture Belgium invites a Data Engineer to join AFD Tech, a data-focused unit, working on large-scale data platforms in a cloud environment. You will design, build, and optimize pipelines using Python and SQL, with AWS as the primary cloud stack and Airflow orchestration.

Based in Brussels with a hybrid model (2 days at client sites), the role requires fluency in French and English and a collaborative mindset to partner with business teams and leverage Dataiku for data preparation and

Qualifications

• Proven experience as a Data Engineer (industry experience preferred).
• Strong Python and SQL skills.
• Hands-on AWS experience in data projects.
• Solid experience with Apache Airflow for orchestration.
• Experience with Dataiku is a strong plus.
• Comfortable working in complex, multi-source data environments.
• Professional proficiency in French and English (written and spoken).

Responsabilités

• Design, develop, and maintain robust data pipelines in a cloud environment.
• Industrialize data flows: ingestion, transformation, exposure.
• Deploy and orchestrate data workflows using Apache Airflow.
• Develop data processing solutions using Python and SQL.
• Work on an AWS-based data stack (storage, processing, services).
• Collaborate on Dataiku data projects with business teams.
• Ensure data quality, reliability, traceability, and monitoring.

Connaissances

Python

SQL

AWS

Apache Airflow

Dataiku

French and English

Outils

Dataiku

Description du poste

AFD Tech, part of Accenture, is a consulting and engineering company specializing in Data, Cloud, and Digital Transformation. We support major clients in designing, building, and scaling high‑performance data platforms, with a strong focus on business value, innovation, and long‑term impact. Joining AFD Tech means becoming part of a human‑sized, expert-driven organization, backed by the strength of Accenture.

Context of the Mission

As part of the reinforcement of our Data teams in Belgium, one of our clients is looking for a Data Engineer to work on large-scale data platforms supporting both B2B and B2C activities.

The mission takes place in a modern, cloud-oriented data environment, with strong business challenges related to the Energy & Utilities sector and large-scale data valorization.

Main Responsibilities

• 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.

Profile Required

• 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