Senior Data Engineer (Databricks)

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Description

Senior Data Engineer (Databricks) – Financial Services We are looking for an experienced Senior Data Engineer to join a long-term project for a client in the financial services industry . The ideal candidate has strong hands-on experience with Databricks, modern data engineering technologies, and building scalable data solutions in enterprise environments. Project Details Position: Senior Data Engineer (Databricks) Industry: Financial Services Seniority: Senior Start Date: December 2026 Duration: 12 months Language: English C1 Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks. Build and optimize ETL/ELT processes for large-scale data processing. Develop data transformation solutions using PySpark, Python, and SQL. Implement and optimize Delta Lake architectures. Design and maintain reliable data ingestion and integration processes. Improve data quality, performance, and reliability across data platforms. Collaborate with Data Architects, Analysts, and business stakeholders to deliver data solutions. Ensure data security, governance, and compliance with financial industry standards. Troubleshoot and optimize existing data engineering workflows. Must-Have Requirements 5+ years of commercial experience in Data Engineering. Minimum 3 years of hands-on experience with Databricks. Strong practical knowledge of Apache Spark and PySpark. Advanced SQL and Python programming skills. Experience designing and implementing ETL/ELT pipelines. Solid

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