Description
Dear Consultant,
We are seeking a Senior Data Engineer to join a dynamic team within the financial services industry, working on large-scale AI and data initiatives. This role offers flexibility—hybrid or remote from Krakow or Madrid—with occasional office visits as needed. Send CV to if you are interested.
Key Responsibilities:
Design, build, and maintain large-scale data pipelines, data warehouses, and data lakes
Leverage Cortex AI and AWS to drive intelligent data processing
Work with Snowflake to manage data architecture and performance
Develop solutions using Python and Streamlit
Build and deploy containerized applications using Docker and Kubernetes
Design and support ETL workflows for clean, efficient data movement
Create insightful dashboards using Tableau, Power BI, or similar tools
Core Tech Stack (for self-assessment):
Data pipelines, data warehouses, and data lakes
Containerization technologies (Docker, Kubernetes)
AWS
Cortex AI
Snowflake
ETL workflows
Data visualization tools (Tableau, Power BI)
Preferred Qualifications:
Experience with conversational AI projects
Understanding of machine learning and AI concepts
Location: Krakow or Madrid (Hybrid/Remote)
Engagement: B2B Contract
Industry: Financial Services
Office Presence: Occasional, when needed
We are seeking a Senior Data Engineer to join a dynamic team within the financial services industry, working on large-scale AI and data initiatives. This role offers flexibility—hybrid or remote from Krakow or Madrid—with occasional office visits as needed. Send CV to if you are interested.
Key Responsibilities:
Design, build, and maintain large-scale data pipelines, data warehouses, and data lakes
Leverage Cortex AI and AWS to drive intelligent data processing
Work with Snowflake to manage data architecture and performance
Develop solutions using Python and Streamlit
Build and deploy containerized applications using Docker and Kubernetes
Design and support ETL workflows for clean, efficient data movement
Create insightful dashboards using Tableau, Power BI, or similar tools
Core Tech Stack (for self-assessment):
Data pipelines, data warehouses, and data lakes
Containerization technologies (Docker, Kubernetes)
AWS
Cortex AI
Snowflake
ETL workflows
Data visualization tools (Tableau, Power BI)
Preferred Qualifications:
Experience with conversational AI projects
Understanding of machine learning and AI concepts
Location: Krakow or Madrid (Hybrid/Remote)
Engagement: B2B Contract
Industry: Financial Services
Office Presence: Occasional, when needed