Senior Data Engineer - AWS / Databricks

Dateonic is seeking a Senior Data Engineer to join our team and contribute to high-impact, global data initiatives. You will work on modern, cloud-based data platforms, leveraging your expertise in AWS and Databricks to drive innovation for world-renowned enterprise brands.

Key responsibilities

• Design, implement, and optimize scalable batch and streaming data platforms using Apache Spark and Delta Lake.
• Build robust ingestion and transformation workflows applying lakehouse patterns and medallion layering.
• Deliver production-grade datasets and pipelines for machine learning, GenAI, and analytical use cases.
• Enforce enterprise data governance, quality frameworks, and access controls using tools like Unity Catalog.
• Collaborate with data scientists and business stakeholders to challenge requirements and surface optimal architectural solutions.

Requirements

• Strong hands-on experience with Apache Spark, Delta Lake, and production-grade pipeline development.
• Advanced programming skills in Python and SQL with a solid grasp of data modeling and governance.
• Proven experience with the Databricks Lakehouse Platform, ideally within an AWS environment.
• Deep technical expertise in at least one major cloud provider with an openness to work across multi-cloud environments.
• Proactive, consultative mindset with the ability to work effectively in cross-functional agile teams.

What we offer

• Opportunity to work on complex, global architecture projects for major enterprise clients.
• Support from a dedicated engineering community and access to technical mentorship.
• A culture driven by passion, community, and commitment to delivering high-quality solutions.
• Exposure to cutting-edge technologies including GenAI, vector databases, and modern cloud data stacks.