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Data Engineer (m/w/d)


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)

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