Back to SearchData Engineer (PySpark, Databricks)
Hybrid in Poland: Krakow, Poland: Wrocław
Data Software Engineering& 2 others
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We are seeking a skilled Data Engineer to design, develop, and enhance digital products and technology services for risk managers, quants, and other key stakeholders. In this role, you will apply modern engineering practices to build reliable, secure, and high-quality data solutions while collaborating with cross-functional teams in a dynamic environment.
This role offers a hybrid model, with 3 days per week working from the client's office in Wrocław or Kraków, Poland.
Responsibilities
- Design, develop, and improve digital products and technology services provided to risk managers, quants, and other key stakeholders
- Apply a broad range of engineering standards — from analyzing user needs and developing new features to automated testing and deployment
- Ensure the quality, security, reliability, and compliance of our solutions by applying digital principles and implementing both functional and non-functional requirements
- Build observability into solutions, monitor production health, help resolve incidents, and remediate root causes of risks and issues
- Understand, represent, and advocate for client and business needs
- Share knowledge and expertise with colleagues, help with hiring, and contribute regularly to internal engineering communities
Requirements
- 2+ years of professional experience in Data Engineering, ETL development, or software application development
- Strong hands-on expertise in Python, PySpark, and ETL development
- Proven experience with Databricks and large-scale data processing workflows
- Knowledge of Oracle databases, SQL, and data modeling
- Strong analytical, troubleshooting, and problem-solving skills
- Experience working in Agile environments and collaborating effectively across cross-functional teams
- English proficiency at an Upper-Intermediate level (B2) or higher
Nice to have
- Experience in capital markets and working knowledge of financial instruments
- Experience with Unix/Linux, Shell scripting, and enterprise scheduling tools (e.g., AutoSys)
- Hands-on development background in Java or C#