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Data Engineer - Microsoft Data Platform


Context

We are looking for a Data Engineer passionate about data, cloud technologies, and innovative solutions. You will join a dynamic and agile team, responsible for designing, developing, and maintaining data pipelines, data architectures, and analytical models on the Microsoft data platform.

Role & Responsibilities

  • Design and implement data collection, storage, transformation, and delivery solutions using Microsoft Azure services (e.g. Azure Data Factory, Fabric, Databricks, Synapse, Azure Data Lake, Azure Blob Storage).
  • Develop and optimize: SQL queries (T-SQL), Python scripts, Spark notebooks, ETL / ELT processes to ensure data quality, reliability, and performance.
  • Design, develop, and deploy Business Intelligence (BI) solutions using: SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS)
  • Contribute to the design of data models (relational, star schema, Data Vault) in collaboration with the Data Architect.
  • Work closely with data analysts and business stakeholders to understand business needs and translate them into technical solutions.
  • Participate in the design and documentation of data architectures, models, and data flows.
  • Ensure adherence to best practices, security, and data privacy standards.
  • Maintain, monitor, and troubleshoot data solutions.

Core Technologies (Must-have)

  • Azure Data ecosystem: Azure Data Factory, Microsoft Fabric, Azure Synapse, Analysis Services
  • Microsoft BI stack: SSIS / SSAS / SQL Server
  • Databricks
  • Data modelling: Star Schema, Data Vault
  • SQL (T-SQL)
  • Python & shell scripting
  • Power BI

Nice-to-have

  • Delta Lake
  • SQL Server Reporting Services (SSRS)

Profile & Experience

  • Experience: 5–9 years
  • Strong experience in data engineering within Microsoft/Azure environments
  • Master’s degree in IT, Data, or equivalent
  • Languages : Dutch (C1 minimum), English (C1 minimum),French is a plus
  • Certifications (Required) : Microsoft Fabric (Data / Analytics), Databricks, Microsoft Power BI Data Engineering (Azure)

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