Senior Data Engineer — AI Data Pipelines & Snowflake

IBM; Kraków; On-site; PLN 180,000 - 280,000; Full time

Job summary

IBM Consulting is seeking a Senior Data Engineer to build robust data solutions in Krakow, delivering end-to-end ELT pipelines with Snowflake and Azure. You’ll transform ambiguous requirements into scalable analytics datasets, writing Python for orchestration and leveraging dbt for reliable transformations.

You’ll act as a bridge between business users and delivery teams, driving improvements and unblocking bottlenecks in a collaborative environment.

Qualifications

• 5+ years in data engineering or analytics engineering with a modern data stack focus.
• 4+ years hands-on Snowflake experience, including advanced and platform specific features.
• 3+ years hands-on dbt Cloud experience in production environments.
• Solid Python skill for orchestration and transformation use cases.
• Strong experience with Azure and Azure Blob Storage integrations.
• Excellent communication skills - able to work smoothly across different vendors and business stakeholders.

Responsibilities

• Leading data engineering initiatives end-to-end, from requirements gathering to production deployment serving AI use cases.
• Designing and building ELT pipelines loading data from Azure Blob Storage into Snowflake
• Developing and maintaining dbt transformation models to deliver scalable, reliable analytics datasets
• Writing Python scripts for data orchestration and advanced transformations
• Leveraging Snowflake Cortex for AI-driven use cases
• Acting as a technical bridge between business users and delivery teams.
• Identifying and unblocking delivery bottlenecks before they become problems
• Proposing improvements, new approaches, and solutions.

Skills

Data engineering

Python

Azure

Snowflake

dbt

Communication

Education

Master's Degree

Tools

Snowflake Cortex

dbt Cloud

Azure Blob Storage

PowerBI

Job description

IBM Consulting is seeking a Senior Data Engineer to build robust data solutions in Krakow, delivering end-to-end ELT pipelines with Snowflake and Azure. You’ll transform ambiguous requirements into scalable analytics datasets, writing Python for orchestration and leveraging dbt for reliable transformations.

You’ll act as a bridge between business users and delivery teams, driving improvements and unblocking bottlenecks in a collaborative environment.