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Senior data engineer

Bruxelles
Laco Information Services
Publiée le 2 mai
Description de l'offre

Build and lead modern Azure data platforms with Synapse, Databricks, and PySpark at our client.

Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below. We are looking for a Senior Data Engineer / Technical Lead for our client who combines deep technical expertise with the ability to guide teams and shape scalable data solutions in a cloud-first environment. Period: 24 months Location: Brussels What you'll do Take ownership as the technical reference within the data engineering team, ensuring quality and best practices Review code, validate implementations, and support colleagues through coaching and knowledge sharing Translate data architecture guidelines into clear, actionable solutions for engineering teams Design and implement data pipelines across the Azure ecosystem (ingestion, transformation, consumption) Advise on the best technical approach depending on the data warehouse layer Collaborate closely with architects and data modelers to build robust and scalable data structures Continuously improve performance, reliability, and data quality across pipelines and platforms Contribute to the evolution of the data platform, standards, and engineering practices What you gain A key technical role with real impact on data platform strategy The opportunity to lead and mentor other engineers Work with modern Azure technologies in a data-driven environment Continuous learning and room to shape best practices Flexible working setup with strong team collaboration Your background 5+ years of experience in data engineering Strong expertise in Azure Synapse, Azure Data Factory, Databricks, PySpark, and SQL Experience designing and optimizing data pipelines in cloud environments Solid understanding of data modelling concepts, including dimensional modelling (e.g. star schema) Comfortable working with architects and translating high-level designs into implementations Experience with performance tuning, data quality, and reliable data processing Knowledge of Power BI or semantic modelling is a plus Ready to take the lead in building scalable Azure data platforms? xjsrcvq Let's connect.

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