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Nordea: Senior Tech Lead - Data Engineering & Warehousing (Python, IT/DevOps) (Warszawa, Gdańsk)

Senior Tech Lead - Data Engineering & Warehousing (Python, IT/DevOps)

Bezpośrednia
  • Nordea
  • Warszawa, Gdańsk
  • 16.10.2025

Podsumowanie oferty:

  • Branża

    Bankowość / Finanse / Fintech
  • Rodzaj umowy

    UoP
  • Doświadczenie

    Senior
  • Technologie i Narzędzia

    Python, SQL, Docker, Kubernetes, AI, Data modeling, Snowflake, CI/CD, Query Optimization, IT/DevOps

Opis oferty:

Welcome to Group Technology, where we pride ourselves on engineering solutions and directing Nordea’s transformation by providing a holistic technological view and structured understanding of the bank, and its environment to enable the Customer Vision and Business Strategy. We are seeking a highly experienced Senior Tech Lead for Data Engineering & Warehousing - a strategic leadership position requiring exceptional technical depth, proven influence, and autonomous execution capabilities. This role is critical to establishing technical excellence and automation standards while optimizing our Snowflake-based data platform. We need a self-driven professional who can architect efficient solutions, drive automation initiatives, and establish best practices across high-performing teams.

About our team: Welcome to the Trading Data Warehouse & BI team. You will work in a fast-paced, agile environment, with stakeholders representing Scandinavia’s largest trading floor. We support a wide range of business processes in Nordea’s Trading business domain. You’ll join a team of enthusiastic data professionals across Scandinavia, Poland and India. This role is based in either Denmark or Poland.

Wymagania:

  • 7+ years in data engineering with strong Python and SQL expertise.
  • Deep understanding of data engineering, cloud, IT/DevOps, and software engineering.
  • Strong knowledge of data modelling, warehousing concepts, and query optimization.
  • Proficiency in CI/CD, automation, and containerization/orchestration (Docker, Kubernetes).
  • Hands-on experience applying AI for automation, code generation.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Dodatki i korzyści:

  • Collaboration. Ownership. Passion. Courage.
  • Culture that fosters performance and growth.
  • Hybrid working model.
  • Diversity and inclusion.
  • Opportunities for career development.
  • 200-year history of supporting and growing the Nordic economies.
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