Senior Data Engineer

📋 Description

• Design and implement scalable data platforms and pipelines on AWS (with Databricks) or Azure/Fabric
• Develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark
• Build 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
• Strong, demonstrable hands-on experience with AWS data services (e.g., S3, Glue, EMR, Redshift
• Strong, demonstrable hands-on experience with Microsoft Azure / Fabric (e.g., Data Factory

🎁 Benefits

• Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance.
• Co-subsidized transportation & Multisport cards.
• Premium health insurance for fast and easy access to top healthcare services.
• Training policy for technical and other skills-related events, courses and certifications.
• Personal career development roadmap guided by performance evaluations.
• Self-care program offering psychological consultations & discussions for you and the team.