Data Engineer

XTB online investing

Warszawa

On-site

PLN 156,000 - 199,000

Full time

47 hours ago
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Benefits offered by this job

Training budget
Birthday off
Parental leave
Equipment provided
Private medical care
Wellbeing platform access
Remote work options

Job summary

XTB online investing seeks a Data Engineer to join the Core Data Platform team in Warsaw. You will build scalable data pipelines, integrate diverse data sources, and help set engineering standards for reliability and quality.

Qualifications include 3+ years in data engineering, Python and Spark proficiency, and strong SQL/data warehouse knowledge. Remote-friendly with a clear career path in an international fintech.

Qualifications

  • At least 3 years as a Data Engineer or in a related role.
  • Proficiency in Python and production-grade coding.
  • Hands-on Spark experience.
  • Advanced SQL with large datasets optimization.
  • Strong data warehouse design and modeling knowledge.
  • ETL/ELT experience and data quality focus.
  • Experience with relational databases and data modeling.
  • Understanding of REST and gRPC interfaces.
  • Experience with Airflow, Dagster or similar workflow tools.
  • Knowledge of CI/CD concepts and pipelines.

Responsibilities

  • Design, build, and maintain scalable data pipelines.
  • Develop CI/CD pipelines for data engineering solutions.
  • Create and maintain Infrastructure as Code solutions.
  • Integrate data platform with other systems and apps.
  • Participate in architecture decisions and standards.
  • Conduct code reviews and document solutions.

Skills

Python
Apache Spark
SQL
Data modeling
ETL/ELT
Data quality
Monitoring
Relational DBs
REST/gRPC
CI/CD

Tools

Airflow
Dagster
Databricks
CI/CD pipelines

Job description

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
  • 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.
  • 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.

14,000 zł - 17,800 zł a month

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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