Senior Data Engineer for AI Solutions

IBM Computing; Wrocław; On-site; PLN 180,000 - 300,000; Full time

Job summary

IBM Consulting in Poland seeks a Senior Data Engineer who thrives in ambiguity and owns data solutions end-to-end. You will drive ELT pipelines, collaborate with business stakeholders, and act as a technical bridge across delivery teams.

The role focuses on Snowflake, dbt Cloud, Python, and Azure Blob Storage, delivering scalable analytics while exploring AI-enabled use cases with Snowflake Cortex. Excellent communication and a proactive mindset are essential.

Qualifications

• 5+ years in data or analytics engineering with a modern data stack focus.
• 4+ years hands-on Snowflake experience with advanced features.
• 3+ years hands-on dbt Cloud experience in production environments.
• Strong Python for orchestration and transformation use cases.
• Experience with Azure and Azure Blob Storage integrations.

Responsibilities

• Lead data engineering initiatives end-to-end from requirements to deployment.
• Design ELT pipelines loading data from Azure Blob Storage into Snowflake.
• Develop and maintain dbt transformation models for analytics datasets.
• Write Python scripts for data orchestration and transformations.
• Leverage Snowflake Cortex for AI-driven use cases.
• Bridge between business users and delivery teams.
• Identify and unblock delivery bottlenecks early.
• Propose improvements and new approaches.

Skills

Data engineering

Snowflake

dbt Cloud

Python

Azure

Power BI

dbt

Tools

Snowflake Cortex

Azure Blob Storage

Job description

IBM Consulting in Poland seeks a Senior Data Engineer who thrives in ambiguity and owns data solutions end-to-end. You will drive ELT pipelines, collaborate with business stakeholders, and act as a technical bridge across delivery teams.

The role focuses on Snowflake, dbt Cloud, Python, and Azure Blob Storage, delivering scalable analytics while exploring AI-enabled use cases with Snowflake Cortex. Excellent communication and a proactive mindset are essential.