{"id":2153203,"url":"https://alion.io/job/akkodis-data-engineer","title":"Data Engineer","company":{"id":52935,"name":"Akkodis","domain":"akkodis.com","url":"https://alion.io/company/akkodis","size_band":"1-10","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Talentsoft","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":105000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":782},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Rest 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description\nAkkodis is seeking a skilled Data Engineer to join its innovative and technology-driven teams.\nThe 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.\nThe 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.\nRole :\nUnderstand business, R&D, and technical requirements related to data usage\nDesign, build, and maintain robust and scalable data pipelines (batch and streaming)\nExtract raw data from multiple sources such as APIs, databases, files, IoT systems, and third-party platforms\nTransform, clean, enrich, and standardize data according to a centralized data model\nDevelop and maintain backend services and REST APIs to expose data to web applications, BI tools, and analytics platforms\nManage data storage within data lake, lakehouse, and data warehouse architectures\nImplement access control, security, and data governance policies across the data platform\nEnsure data quality, reliability, observability, and performance of data pipelines\nOptimize SQL queries and data processing workloads\nSupport reporting, dashboards, and advanced analytics use cases\nCollaborate with data scientists, analysts, architects, product owners, and project managers\nContribute to data engineering standards, best practices, and architectural guidelines\nSupport end-to-end delivery from requirement analysis to production deployment\nBusiness Industry\nConsulting\nProfile\nYour profile :\nBachelor’s or Master’s degree in Computer Science, Data Engineering, or related field\nMinimum 3 years of experience as a Data Engineer (medior/senior profiles preferred)\nExperience in R&D, innovation, or technology-driven environments is a plus\nStrong proficiency in English (written and spoken)\nKnowledge of French and/or Dutch is an asset\nStrong interest in modern data technologies and continuous improvement\nData Engineering and data pipeline development (ETL / ELT)\nStrong SQL skills and experience with relational and analytical databases\nProgramming languages: Python (mandatory), knowledge of Scala or Java is a plus\nBig Data and processing frameworks: Spark, Databricks or equivalent\nWorkflow orchestration tools: Airflow, Azure Data Factory, or similar\nCloud platforms: Azure (preferred), AWS or GCP\nData storage architectures: Data Lake, Lakehouse, Data Warehouse\nREST API development and integration\nContainerization and deployment: Docker, Kubernetes\nBI and visualization tools: Power BI, Tableau or similar\nUnderstanding of data modeling, data governance, and security principles\nPosition location\nJob location\nEurope, Belgium\nLocation\nBelgium\nCandidate criteria\nLevel of experience\nAll levels of 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