Senior Data Engineer

6 dni temu

Kraków, Lesser Poland Robson Bale Pełny etat 60 000 zł - 120 000 zł rocznie

Senior Data Engineer – B2B – Krakow or Gdansk

Description

Our client envisions the RIPL platform as a groundbreaking, AI-driven investment ecosystem that revolutionizes the entire investment process by formulating an intuitive and human-centric design approach. The advanced AI-native platform will be meticulously designed to meet Client's strategic needs, offering transformative capabilities for the investment landscape.

We are looking for a dynamic, hands-on Senior Data Engineer for a full-stack AI native Data Eng team for building a cutting edge quantitative investment platform.

  • 12 months initial contract
  • Market rate
  • 5 days per week on site

Responsibilities

  • Data Pipeline Development:
  • Implement data pipelines for structured, unstructured, and operational data sources.
  • Ensure efficient data ingestion, transformation, and storage processes.
  • Data Quality and Management:
  • Establish data quality rules and monitor data integrity.
  • Support the creation and maintenance of a comprehensive data catalog.
  • Support for AI Integration:
  • Collaborate with architects to integrate AI-driven analytics into data workflows.
  • Assist in implementing GraphRAG for transforming unstructured documents into queryable entities.
  • Security and Compliance:
  • Implement role-based access control and ensure data security measures are in place.
  • Support compliance with data lineage and sensitivity requirements.
  • Data Warehousing and Management:
  • Utilize Snowflake for data warehousing, ensuring scalable and efficient data storage solutions.
  • Establish and monitor data quality rules, ensuring data integrity and compliance.

Requirements

  • Technical Skills:
  • Proficiency in Snowflake and Airflow.
  • Experience with data pipeline engineering and data architecture.
  • AI and Graph Experience:
  • Familiarity with Graph RAG and Graph Data Structures.
  • Experience in integrating AI-driven solutions into data processes.
  • Additional Skills:

AWS skills.

Ability to collaborate and share knowledge on data engineering practices.

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