Senior Data Engineer (Databricks)

Quick Facts

• Role: Senior Data Engineer (Databricks)
• Industry: Financial Services
• Seniority: Senior
• Start: December 2026
• Duration: 12 months
• Language: English C1

Description

Join a long-term financial services project as a Senior Data Engineer specializing in Databricks. You will design, develop, and maintain scalable data pipelines, build ETL/ELT processes at scale, and deliver transformations using PySpark, Python, and SQL with Delta Lake/Lakehouse architectures. You will also focus on data ingestion, quality, performance, reliability, and compliance with financial industry security and governance standards.

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

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 understanding of Delta Lake and Lakehouse architecture
• Knowledge of data modeling, data warehousing, and data integration
• Experience optimizing data processing performance and managing large datasets
• English proficiency at C1 level

Benefits

• Long-term project in the financial services domain (12 months) starting December 2026