Data Engineer

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pDigiTribe is looking for a Databricks Data Engineer in Belgium to help leading financial sector organisations build modern, reliable data platforms. You will design and run the pipelines that turn raw data into trusted, usable assets for analytics, reporting and AI. /p h3Your responsibilities will include: /h3 ul liDesign, build and maintain scalable data pipelines, both batch and streaming, on Azure and Databricks. /li liDevelop ingestion, transformation and data modelling processes using PySpark, Spark SQL and Delta Lake. /li liImplement and optimise lakehouse architectures, following the medallion pattern (bronze, silver, gold). /li liOrchestrate workflows with Azure Data Factory, Databricks Workflows or similar tools. /li liEnsure data quality, governance, lineage and security, for example with Unity Catalog and access controls. /li liIndustrialise delivery through CI/CD, infrastructure as code and DataOps practices. /li liWork closely with data analysts, data scientists, architects and business stakeholders within Agile teams. /li /ul h3What we're looking for /h3 pThe ideal candidate will have: /p ul liAt least 3 years of experience in data engineering. /li liHands-on experience with Databricks and the Azure data ecosystem, including ADLS Gen2, Data Factory, Synapse and Event Hubs. /li liStrong skills in Python/PySpark and SQL. /li liA good understanding of data modelling, performance tuning and distributed processing. /li liExperience with Git, Azure DevOps or GitHub, and CI/CD pipelines. /li liFluent English, French and/or Dutch. /li /ul pNice to have: /p ul liDatabricks certification (Data Engineer Associate or Professional) or Azure certification (DP-203 / DP-700). /li liExperience with Terraform, dbt, Kafka or Microsoft Fabric. /li liExperience in banking, insurance or other regulated environments. /li /ul

Data Engineer

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Data Engineer

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