Senior Data Engineer – Python, Spark, AWS

Link Group is hiring for a role focused on building a scalable, multitenant data platform that powers data ingestion, transformation, cataloging, and distribution for internal and external stakeholders. The platform leverages modern data lakehouse components and is based on AWS infrastructure.

• 5+ years of experience in Python and strong software engineering skills
• Solid knowledge of AWS cloud services and best practices
• Experience building scalable Spark pipelines in PySpark or Scala
• Practical experience with Spark Streaming for low-latency pipelines
• Familiarity with Delta Lake and modern data lakehouse architectures
• Hands-on experience with Kubernetes and container orchestration
• Experience with MongoDB and other NoSQL data stores
• Understanding of microservices and event-driven architecture
• Excellent communication skills and ability to work in a collaborative, global team
• Commitment to high standards of ethics, quality, and delivery

Nice to have:

• Familiarity with Machine Learning, AI models, or Data Science workflows

• Design and build scalable data ingestion pipelines in AWS
• Work extensively with Databricks, including Unity Catalog, streaming, Delta Lake, and data transformation tools
• Lead technical delivery and implementation of core platform components across raw, normalized, operational, and historical layers
• Collaborate with engineering managers and cross-functional teams across the US and Poland
• Drive technical excellence by improving team processes, architecture standards, and engineering best practices
• Support and consult with stakeholders to ensure successful delivery of data-driven solutions
• Contribute to the growth and maturity of the team's cloud and data engineering capabilities