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Design, build, and operate end‑to‑end data pipelines for large‑scale logistics data assets;
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Develop robust data models and transformations using modern data stack technologies like Databricks, DBT and MS Fabric;
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Implement batch and near‑real‑time processing for operational and analytical use cases;
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Ensure data quality, performance, and reliability;
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Act as squad lead for complex data engineering topics;
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Contribute to architecture decisions, best practices, and standards;
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Coach junior engineers and actively shape the data engineering community;
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Work in an agile setup (Scrum) with high responsibility and stakeholder interaction.