Senior AI Data Engineer - Snowflake & Azure

IBM

Wrocław

On-site

PLN 180,000 - 300,000

Full time

7 hours ago

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Job summary

IBM Consulting is seeking a Senior Data Engineer to own end-to-end data initiatives, delivering ELT pipelines from Azure Blob Storage to Snowflake and building scalable analytics datasets with dbt. The role requires Python-based orchestration, Snowflake Cortex familiarity, and strong collaboration with business and delivery teams.

With 5+ years in data/analytics engineering and a Master’s degree, you’ll thrive in ambiguity and drive AI-enabled data solutions across engagements.

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 skills for orchestration and transformation use cases.
Strong experience with Azure and Azure Blob Storage integrations.

Responsibilities

Lead data engineering initiatives end-to-end, from requirements gathering to production deployment serving AI use cases.
Design and build ELT pipelines loading data from Azure Blob Storage into Snowflake.
Develop and maintain dbt transformation models to deliver scalable analytics datasets.
Write Python scripts for data orchestration and advanced transformations.
Leverage Snowflake Cortex for AI-driven use cases.
Act 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.