Senior Data Engineer

• designing and implementing data models and architectures that support financial data management
• developing and maintaining ETL processes to integrate data from diverse sources, including market data feeds, customer information systems, and transactional databases
• ensuring data quality, security, and compliance with regulatory requirements
• collaborating with business owners, data analysts and scientists, software engineers, and DevOps specialists to support the development of predictive models and business intelligence tools
• optimizing data processing workflows for performance, scalability, and reliability
• working in an international Scrum team

Let's be healthy – medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced – work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart – we organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible – each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun – company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse – every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

• fluent spoken and written English
• expertise in writing and optimizing SQL code and good understanding of MS SQL internals
• hands-on experience with Azure Data Factory (ADF) pipelines
• proficiency in 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
• experience implementing Change Data Capture (CDC) in production environments
• ability to configure and troubleshoot CI/CD pipelines for database deployments
• being skilled in pre- and post-deployment validations
• expertise in query optimization and resolving performance bottlenecks
• proficiency in 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