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, collaborating 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.