Remote Data Engineer: Build Scalable Data Pipelines

XTB online investing; Warszawa; Hybrid; PLN 156,000 - 199,000; Full time

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 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.