XTB

Runs an online brokerage for stock and currency trading

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeWarsaw, PolandNo salary listed

About the Job

Requirements

At least 3 years of experience as a Data Engineer or in a related software engineering role.
At least 1 year of experience with Microsoft SQL Server, SQL Server Integration Services (SSIS), and SQL Server Agent technologies, including deploying new features.
Analyze existing legacy code for improvement and transfer to newer technology.
Be flexible to join a Databricks-oriented project at some point during the engagement.
Proficiency in Python and the 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 extract, transform, and load (ETL) and extract, load, and transform (ELT) processes.
Familiarity with data quality, monitoring, and pipeline reliability.
Experience working with relational databases, including understanding their operation, 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.

Responsibilities

Implement, maintain, and support the Microsoft 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 or PySpark.
Work with raw data and design methods for integrating it 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.

Desired Qualifications

Experience with dbt.
Experience with Kafka, Pub/Sub, or other event-streaming systems.
Experience building near-real-time or real-time pipelines.
Experience working with Infrastructure as Code tools.
Understanding of Change Data Capture (CDC) 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.

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.

Responsibilities

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

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.

What we offer

Real influence on the development of the company and the product.

Work in an experienced team that is happy to share its knowledge.

A clear vision of development thanks to regular feedback and clear career paths.

Regular team-building meetings.

Benefits

A training budget for courses and conferences that interest you.

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 advantage of workshops and private therapy sessions.

Remote work, from the office in Warsaw or from a coworking space in your city.

XTB

Data Engineer

About the Job

Requirements

Responsibilities

Desired Qualifications

Responsibilities

Requirements

Nice to have

What we offer

Benefits

About the Company

XTB

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