Data Engineer (Tax Care)

XTB is a global company from the financial industry, focusing on online trading of financial instruments. It is the largest FinTech in Poland and a leader in Central and Eastern Europe, with operations in several countries including Asia and South America. The company invests in employee development and offers various training and development programs.

• Minimum 3 years experience as a Data Engineer or related software engineering role
• Strong Python skills, producing clean, testable production code including backend services (e.g., FastAPI, Flask) exposing REST APIs
• Advanced SQL skills on large datasets and practical experience with T-SQL / MS SQL Server, including legacy stored procedures
• Hands-on experience with Apache Spark (PySpark)
• Experience with dbt including models, tests, macros, and layered warehouse design
• Strong understanding of data warehouse design principles and data modeling
• Practical knowledge of ETL/ELT processes
• Experience analyzing and migrating legacy code to newer technologies
• Familiarity with data quality, monitoring, and pipeline reliability
• Experience with workflow orchestration tools (e.g., Airflow, Dagster)
• Knowledge of CI/CD pipeline building and maintenance
• Understanding of REST standards for system integration
• Strong analytical problem-solving skills and attention to detail, able to work under strict monthly accounting deadlines
• Effective communication skills to collaborate with engineers and non-technical stakeholders
• Openness to learning and exploring new technologies and methodologies

Nice to have:

• Experience with Databricks or other lakehouse platforms (Delta Lake, Unity Catalog)
• Experience with Snowflake analytical platform
• Basic front-end skills (e.g., React, Streamlit, Dash)
• Experience with SSIS and SQL Server Agent (useful context)
• Experience in financial, accounting, or tax domains or with reconciliation-heavy data
• Understanding of gRPC for system integration
• Experience with event streaming systems such as Kafka or Pub/Sub
• Experience building near-real-time or real-time pipelines
• Experience with Infrastructure-as-Code tools
• Understanding of CDC (Change Data Capture) and integration from transactional systems

• Designing, building and maintaining data pipelines feeding accounting and tax systems using SQL, Python, dbt, and Apache Spark / PySpark
• Migrating data platform to Databricks lakehouse, rewriting legacy MS SQL Server stored procedures into Spark / Databricks SQL
• Building and maintaining a Python backend exposing data over a REST API with web UI, covering data model, API design, and deployment
• Working with raw data and designing integration methods for the data platform
• Developing CI/CD pipelines for data engineering solutions
• Creating and maintaining Infrastructure as Code solutions
• Integrating the data platform with other systems and applications
• Participating in architectural decision-making and defining engineering standards
• Conducting code reviews, documenting solutions, and sharing knowledge with team members