Senior Data Engineer (Azure Data Factory/Powershell) | f/m/d

Quick Facts

• Role focus: Data engineering for financial data management
• 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 diverse sources—market data feeds, customer information systems, and transactional databases—while ensuring data quality, security, and regulatory compliance. Collaborate with business owners, data analysts and scientists, software engineers, and DevOps specialists to support predictive models and business intelligence tools.

Responsibilities

• Design and implement data models and architectures
• Develop and maintain ETL processes for integrating multiple data sources
• Ensure data quality, security, and regulatory compliance
• Collaborate cross-functionally to support predictive models and BI tools
• Optimize data processing workflows for performance, scalability, and reliability
• Work in an international Scrum team

Requirements

• Fluent spoken and written English
• Expertise in writing and optimizing SQL code and good understanding of MS SQL internal
• Hands-on experience with Azure Data Factory (ADF) pipelines
• Proficiency in incremental and full data load
• 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
• Experience implementing Change Data Capture (CDC) in production environments
• 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 environments
• 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, and numerous sports sections
• Flexible working hours, confidential employee assistant program, possibility of remote working
• Workshops and training courses; hackathons and meetups; digital learning platforms and language courses
• CSR activities
• Company-wide events (bike races, soccer matches, film marathons, team-building activities)