Senior Data Engineer

📋 Description

• Design and implement scalable data platforms and pipelines on AWS (with Databricks) or Azure/Fabric
• Build reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and
• Develop ingestion, transformation, and curation workflows for both structured and unstructured data
• Implement modern data architectures including lakehouse patterns and medallion layering (bronze
• Deliver high-quality datasets that support analytics, machine learning, causal modeling, and
• Enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data

🎯 Requirements

• Strong hands-on experience with Apache Spark and Delta Lake
• Strong programming skills in Python and SQL
• Proven experience building batch and streaming data pipelines and production-grade data platforms
• Solid understanding of data modeling, data quality, and governance principles
• Track A: Strong, demonstrable hands-on experience with AWS data services (e.g., S3, Glue, EMR
• Track B: Strong, demonstrable hands-on experience with Microsoft Azure / Fabric (e.g., Data

🎁 Benefits

• Mental and physical health
• 24 working days of paid vacation
• National holidays covered
• Sick leave (up to 20/year)
• Unpaid leave (up to 20/year)
• Medical insurance