XTB

Data Engineer

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MidZdalnie·WarsawFull-time

#434735·Dodano miesiąc temu·13

Źródło: XTB

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Tech Stack / Keywords

MS SQL ServerSSISSQL Python Apache Spark PySpark Databricks AirflowdbtKafka

Firma i stanowisko

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, operating also in Asia and South America.

Wymagania

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 deployment of new features.
Ability to analyze existing legacy code for improvement and transfer to newer technology.
Flexibility to join a Databricks-oriented project at some point during the cooperation.
Proficiency in Python and ability to write clean, testable production code.
Hands-on experience with Apache Spark.
Advanced SQL skills, including 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 understanding how they work, data modeling, and optimization.
Understanding of REST and gRPC standards for system integration.
Experience with workflow orchestration tools such as 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 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.

Obowiązki

Implement, maintain, and support the MS SQL Server warehouse and SSIS processes and jobs on a daily basis.
Design, build, and maintain scalable data processing pipelines using SQL, Python, and Apache Spark / PySpark.
Work with raw data and design methods for its integration into the data platform.
Develop CI/CD pipelines for data engineering solutions.
Create and maintain Infrastructure as Code solutions.
Integrate the data platform with other systems and applications.
Participate in architectural decision-making and define engineering standards.
Conduct code reviews, document solutions, and share knowledge with team members.

Benefity

Real influence on the development of the company and the product.
Work in an experienced team that shares its knowledge.
Regular feedback and clear career paths.
Regular team-building meetings.
A training budget for courses and conferences.
An extra day off on your birthday.
An extra 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 and the opportunity to take workshops and private therapy sessions.

Spotkania integracyjne

Budżet konferencyjny

Dofinansowanie szkoleń

Płatny urlop

Opieka zdrowotna

Ubezpieczenie

XTB

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