At least 3 years of experience as a Data Engineer or in a related software engineering role.
At least 1 year of experience with MS SQL Server, SSIS and SQL Server Agent technologies - including the deployment of new features.
Analyzing existing legacy code for improvement and transfer to the newer technology.
Flexibility to be enrolled into the Databricks oriented project at some point of the cooperation.
Proficiency in Python and the ability to write clean, testable production code.
Hands-on experience with Apache Spark.
Advanced SQL skills (query optimization on large datasets).
Strong understanding of data warehouse design principles and data modeling.
Practical knowledge of ETL/ELT processes.
Familiarity with data quality, monitoring, and pipeline reliability.
Experience working with relational databases, including an understanding of how they work, data modeling, and optimization.
Understanding of REST and gRPC standards for system integration.
Experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar).
Knowledge of CI/CD pipeline building and maintenance principles.
Strong analytical problem-solving skills and attention to detail.
Effective communication skills and the ability to collaborate in a team.
Openness to learning and exploring new technologies and methodologies.
Nice to have
Experience with dbt.
Experience with Kafka, Pub/Sub, or other event streaming systems.
Experience building near-real-time / real-time pipelines.
Experience working with Infrastructure-as-Code tools.
Understanding of CDC (Change Data Capture) and data integration from transactional systems.
Experience with Databricks or other lakehouse platforms.
XTB is a global company from the financial industry, focusing on online trading of financial instruments. We are the largest FinTech in Poland and a leader in Central and Eastern Europe, and the range of our operations covers several countries, including Asia and South America. At XTB, we focus on the development of our employees, giving them opportunities to gain knowledge and skills in various fields, as well as offering a number of training and development programs. If you are looking for challenges and want to gain valuable experience in an international business environment, XTB is the right place for you.
We are a certified Great Place to Work company.
About the Role
We are looking for a Data Engineer to join the Core Data Platform team to co-create and develop a centralized data platform used by teams across the company. In this role, you will be responsible for building scalable data integration mechanisms from various source systems, developing shared platform components and standards, and ensuring high data quality, reliability, and consistency.
What We Offer
Real impact on the development of the company and the product.
Work in an experienced team that actively shares knowledge.
A clear growth path supported by regular feedback and transparent career development.
Training budget for courses and conferences of your choice.
An additional day off on your birthday.
An additional day off for parents.
Equipment tailored to your needs.
Private medical care and group insurance.
Access to an e-learning platform for learning English and a benefits platform.
Access to a wellbeing platform, including workshops and private therapy sessions.
Remote work, work from our Warsaw office, or from a coworking space in your city.
Regular team integration events.
,[Implementing, maintaining and support of MS SQL Server warehouse and SSIS processes and jobs on a daily basis., Designing, building, and maintaining scalable data processing pipelines using SQL, Python, and Apache Spark / PySpark., Working with raw data and designing methods for its integration into 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.] Requirements: Python, ETL, ELT, Apache Spark, PySpark, SQL, GitLab, MS SQL Server, SSIS, Databricks, Kafka, dbt Tools: . Additionally: Sport subscription, Training budget, Private healthcare, An extra day off on your birthday, An extra day off for parents.
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