Senior Python Data Engineer

We are partnering with top-tier global financial institutions to scale their core technology and data infrastructure. We are looking for an experienced and product-oriented Python Data Engineer to join our technology group.

In this role, you will work at the intersection of cutting-edge technology and institutional finance. You will collaborate closely with data consumers, engineering teams, and business stakeholders to push the firm's technological capabilities forward.

What You’ll Do:

Core Responsibilities:

• Design, develop, and deliver high-quality, scalable Python-based solutions.

• Drive engineering excellence by ensuring system reliability, automating processes, and maintaining high operational standards.

• Actively experiment with and integrate modern AI coding tools (e.g., Copilot, Cursor) to streamline engineering workflows.

• Lead design discussions, mentor junior colleagues, and communicate proactively across a geo-distributed team.

Depending on the specific project or team, your focus may include:

• Enterprise Data Platforms: Building cloud-based (AWS) pipelines for data ingestion, streaming, and cataloging.

• Risk & Portfolio Analytics Systems: Developing software for financial data ingress/egress, performance/exposure monitoring, and automated reconciliation.

• AI & Metadata Applications: Extending AI-powered semantic data access layers and internal data catalogs.

What We’re Looking For:

• Experience: 4+ years of professional experience in software or data engineering, specifically using Python.

• Data Skills: Solid understanding of data architecture, modeling, and warehousing. Excellent debugging acumen and comfort writing complex SQL statements.

• Cloud & Architecture: Experience building scalable, distributed pipelines in a cloud environment (preferably AWS). Familiarity with event-driven architectures.

• Mindset: Impact-oriented, proactive, self-starting learner who embraces engineering automation, navigates ambiguity well, and holds themselves to high ethical standards.

Nice to Have:

• Big Data & Orchestration: Expertise in Databricks, Spark (PySpark/Scala), Delta Lake, and orchestration tools like Airflow, dbt, or Kafka.

• Infrastructure & Observability: Working knowledge of Kubernetes, MongoDB, and observability stacks (Grafana, Loki, Prometheus, OpenTelemetry).

Offer:

• Competitive compensation (30k - 45k PLN) with flexible contracting options (B2B/UoP).

• Premium office location in the heart of Warsaw.

• Comprehensive private medical and dental care.

• Sports card and wellness benefits.

• Private life insurance