Senior Data Engineer
Summary
Build enterprise-scale data platforms—warehouses, lakes, lakehouse architectures—and lead end-to-end data migrations including SAP BW transitions. Core stack: Databricks, Spark, Python, SQL on Azure/AWS/GCP with CI/CD, DevOps, and IaC.
Description: We are expanding our team at Piligrim and looking for a strong Senior Data Engineer / Solution Consultant for long-term enterprise projects and data platform modernizations.
What you will do:
Design and build enterprise-scale data systems, data warehouses, data lakes, and lakehouse architectures.
Handle end-to-end data migrations (including cloud and legacy systems/SAP BW transitions).
Define data architecture standards, develop data models, and optimize pipeline performance.
Key Requirements:
5+ years of experience in data management, data engineering, or solution architecture.
Strong hands-on experience with Databricks, Spark, Python, and SQL.
Experience with cloud ecosystems (Azure, AWS, or GCP) including CI/CD, DevOps, and Infrastructure as Code.
Proven background in large-scale data migrations or data platform modernization.
Experience with SAP BW structures, data models, or finance domain expertise is a strong plus.
English level: B2–C1 (fluent communication for direct client interaction).