Senior Python Data Engineer
Yard Corporate
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