Senior Data Engineer - AI Pipelines & Snowflake

IBM; Kraków; On-site; PLN 240,000 - 400,000; Full time

Job summary

IBM Consulting in Kraków seeks a Senior Data Engineer to own end-to-end data initiatives, from requirements to production deployment, enabling AI use cases. You will design ELT pipelines, load data from Azure Blob Storage into Snowflake, and develop dbt transformation models to deliver scalable analytics datasets.

You will also write Python for orchestration, leverage Snowflake Cortex for AI-driven tasks, and serve as a bridge between business users and delivery teams, proactively removing

Qualifications

• 5+ years in data engineering or analytics engineering with a modern data stack focus.
• 4+ years of hands-on Snowflake experience, including advanced and platform specific features.
• 3+ years of 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.

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-specific features and 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

Python

Azure

Snowflake

dbt

PowerBI

ELT pipelines

Snowflake Cortex

Data engineering

Tools

Azure Blob Storage

dbt Cloud

Snowflake

Job description

IBM Consulting in Kraków seeks a Senior Data Engineer to own end-to-end data initiatives, from requirements to production deployment, enabling AI use cases. You will design ELT pipelines, load data from Azure Blob Storage into Snowflake, and develop dbt transformation models to deliver scalable analytics datasets.

You will also write Python for orchestration, leverage Snowflake Cortex for AI-driven tasks, and serve as a bridge between business users and delivery teams, proactively removing