Data Engineer (Talent Pool)

Akkodis is seeking a skilled Data Engineer to join its innovative and technology-driven teams.

The Data Engineer plays a key role in designing, building, and maintaining scalable and reliable data platforms that enable data-driven decision-making across business, R&D, and digital products.

The position focuses on data ingestion, transformation, storage, and secure access to data within modern cloud-based architectures, working closely with stakeholders, architects, analysts, and developers.

Role :

• Understand business, R&D, and technical requirements related to data usage
• Design, build, and maintain robust and scalable data pipelines (batch and streaming)
• Extract raw data from multiple sources such as APIs, databases, files, IoT systems, and third-party platforms
• Transform, clean, enrich, and standardize data according to a centralized data model
• Develop and maintain backend services and REST APIs to expose data to web applications, BI tools, and analytics platforms
• Manage data storage within data lake, lakehouse, and data warehouse architectures
• Implement access control, security, and data governance policies across the data platform
• Ensure data quality, reliability, observability, and performance of data pipelines
• Optimize SQL queries and data processing workloads
• Support reporting, dashboards, and advanced analytics use cases
• Collaborate with data scientists, analysts, architects, product owners, and project managers
• Contribute to data engineering standards, best practices, and architectural guidelines
• Support end-to-end delivery from requirement analysis to production deployment

Your profile :

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• Minimum 3 years of experience as a Data Engineer (medior/senior profiles preferred)
• Experience in R&D, innovation, or technology-driven environments is a plus
• Strong proficiency in English (written and spoken)
• Knowledge of French and/or Dutch is an asset
• Strong interest in modern data technologies and continuous improvement
• Data Engineering and data pipeline development (ETL / ELT)
• Strong SQL skills and experience with relational and analytical databases
• Programming languages: Python (mandatory), knowledge of Scala or Java is a plus
• Big Data and processing frameworks: Spark, Databricks or equivalent
• Workflow orchestration tools: Airflow, Azure Data Factory, or similar
• Cloud platforms: Azure (preferred), AWS or GCP
• Data storage architectures: Data Lake, Lakehouse, Data Warehouse
• REST API development and integration
• Containerization and deployment: Docker, Kubernetes
• BI and visualization tools: Power BI, Tableau or similar
• Understanding of data modeling, data governance, and security principles

What we offer you:

• A full time, permanent AKKODIS contract with an attractive salary package including a company car, insurances, meal vouchers, etc.
• A position where you can grow and develop your career
• A super nice work environment & atmosphere within an international group
• A nice work/life balance with hybrid working model (on site + remote)