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.
- Minimum 3 lata komercyjnego doświadczenia jako Data Engineer - Praktyczna znajomość Pythona w tworzeniu i utrzymaniu produkcyjnych pipeline'ów ETL/ELT - Doświadczenie w integracjach z REST API i przetwarzaniu danych JSON/XML - Dobra znajomość SQL - Doświadczenie w walidacji danych, obsłudze schema drift, logowaniu błędów ...
... visualization tools (e.g., Power BI, Tableau)., Knowledge of machine learning, predictive analytics, and statistical modeling techniques., Experience with cloud-based data and analytics platforms (Azure, AWS)., Microsoft Data & AI, Azure Data Engineer, Power BI, or similar analytics certifications are an advantage. What we offer, ...
... services to deliver ultra-low latency, high-throughput data solutions, •Build aggregation layers and pipelines consumed by APIs, AI/ML models, and dashboards, , Data Engineering & Integration, •Expose time-series and analytics data through API gateways and integration layers, •Collaborate closely with data science and AI teams ...
... visualization tools (e.g., Power BI, Tableau). - Knowledge of machine learning, predictive analytics, and statistical modeling techniques. - Experience with cloud-based data and analytics platforms (Azure, AWS). - Microsoft Data & AI, Azure Data Engineer, Power BI, or similar analytics certifications are an advantage. What we offer ...
... services to deliver ultra-low latency, high-throughput data solutions, •Build aggregation layers and pipelines consumed by APIs, AI/ML models, and dashboards, , Data Engineering & Integration, •Expose time-series and analytics data through API gateways and integration layers, •Collaborate closely with data science and AI teams ...
... data ingestion and transformation processes., Work with cloud-based data platforms and Databricks., Integrate data from multiple operational systems., Build data products that support aviation operations and decision-making., Work with APIs and data exchange services., Collaborate with data providers, engineers and business ...
... will be shared during the recruitment process. Our requirements - Bachelor’s degree in Computer Science, Engineering, or related field - Proven experience as a Data Engineer or similar role - Strong knowledge of data processing technologies and database systems (SQL, NoSQL) - Experience with data pipeline and workflow management ...
... data ingestion and transformation processes., Work with cloud-based data platforms and Databricks., Integrate data from multiple operational systems., Build data products that support aviation operations and decision-making., Work with APIs and data exchange services., Collaborate with data providers, engineers and business ...
... datasets, and data structures from legacy warehouses to the new platform - Document data flows, technical solutions, incidents, and operational procedures - Maintain data dictionaries and runbooks to ensure effective knowledge sharing and platform support - Collaborate closely with the Senior Data Engineer, Head of Data & Analytics, ...
- Minimum 5 years of commercial experience in data engineering with Google Cloud - Google Cloud Professional Data Engineer certification (expected or to be obtained within the first month of work). - Advanced knowledge of the Google Cloud ecosystem: BigQuery, Cloud Storage, Pub/Sub, BigTable, Dataflow, Dataproc, Cloud Functions/Run, ...
... Creating and maintaining data import/export processes., Preparing documentation and continuously learning business aspects. At least 2 years of experience in databases and ETL., Strong SQL knowledge (procedural database languages such as T-SQL, PL/SQL)., Experience with Databricks., Experience with version control tools., ...