Data Engineering Manager
Leads a Poland-based portfolio data engineering team building scalable ingestion, enrichment, and reconciliation pipelines for financial data. The role combines people management with hands-on technical leadership using Python or PySpark, SQL, relational databases, and Databricks.
About the job
Responsibilities
- Serve as a player/coach, contributing to and supervising a team of Portfolio Data Engineers in Poland.
- Drive the technical direction for the Poland portfolio data engineering team in alignment with peers in other regions and the wider engineering community.
- Build and manage a team of exceptional engineers.
- Partner with multifunctional teams to design, develop, and deploy scalable data solutions that meet client requirements on time.
- Lead development of pipelines supporting the ingestion, analysis, and enrichment of financial data in collaboration with business data analysts.
- Advocate for standard methodologies and identify opportunities for automation and code and process optimization to increase throughput and accuracy.
- Develop and maintain process controls and accurate metrics that improve data quality and operational efficiency.
- Deliver high-quality results and drive continuous improvement in a fast-paced environment.
Requirements
- Proven experience leading data engineering teams.
- Several years of professional data engineering experience as an individual contributor.
- Computer science degree or equivalent experience.
- Strong problem-solving and decision-making skills.
- Working knowledge of at least one object-oriented programming language, including PySpark, Python, or Java.
- Experience with relational databases, SQL, and data pipelines.
Nice to Have
- Knowledge of financial concepts such as stocks and bonds.
- Passion for fintech and investment-management problem solving.
Compensation
- Base salary range for roles in Warsaw: 380,000–456,000 złoty.
- Starting pay is determined by role, skills, experience, qualifications, work location, and market conditions.
Skills
Python, Pyspark, Java, SQL, Relational Databases, Data Pipelines, Databricks, Data Lakes, Distributed Systems, Data Modeling
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