Senior Data Engineer (Databricks / Azure Data Factory)

Quick Facts

• Role: Senior Data Engineer (Databricks / Azure Data Factory)
• Team: International Scrum team

Description

Design and implement data models and architectures for financial data management. Develop and maintain ETL processes to integrate data from multiple sources, ensure data quality, security, and regulatory compliance, and optimize workflows for performance and scalability. Collaborate with business owners, data analysts and scientists, software engineers, and DevOps to support business intelligence and predictive modeling.

Responsibilities

• Design and implement data models and architectures for financial data management
• Develop and maintain ETL processes integrating market feeds, customer systems, and transactional databases
• Ensure data quality, security, and compliance with regulatory requirements
• Collaborate with business, data, engineering, and DevOps stakeholders to support predictive models and business intelligence
• Optimize data processing workflows for performance, scalability, and reliability

Requirements

• Fluent spoken and written English
• Expertise in writing and optimizing SQL; good understanding of MS SQL internals
• Hands-on Azure Data Factory (ADF) pipeline experience
• Proficiency with incremental and full data loads
• Familiarity with CI/CD integration for data workflows
• Knowledge of Databricks and Python for advanced data processing
• Strong grasp of dimensional modeling and schema design
• Production experience implementing Change Data Capture (CDC)
• Ability to configure and troubleshoot CI/CD pipelines for database deployments
• Skilled in pre- and post-deployment validation
• Expertise in query optimization and resolving performance bottlenecks
• Proficiency debugging issues across staging and production
• Familiarity with Active Directory (AD) group management
• Knowledge of role-based access control
• Integration experience with Entra ID for secure data access

Benefits

• Medical package, sports card, sports sections
• Flexible working hours, confidential employee assistant program, remote working possibility
• Workshops and training courses, hackathons and meetups, digital learning platforms, language courses
• CSR activities
• Company-wide bike races and soccer matches, film marathons, team-building activities
• Diversity and inclusive workplace values