Senior AI Data Engineer: Snowflake ELT Pipelines

IBM

Warszawa

On-site

PLN 180,000 - 280,000

Full time

41 hours ago
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Job summary

IBM Consulting is seeking a Senior Data Engineer to own data engineering initiatives end-to-end, designing ELT pipelines from Azure Blob Storage to Snowflake. You will develop dbt models and Python-based orchestrations, leveraging Snowflake Cortex for AI-driven use cases.

You will bridge business and delivery teams, proactively removing bottlenecks and proposing innovative data solutions. The ideal candidate holds a Master’s Degree with 5+ years in data/analytics engineering, plus 4+ years

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 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 to production deployment
  • Design and build ELT pipelines loading data from Azure Blob Storage into Snowflake
  • Develop and maintain dbt transformation models for 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
  • Identify and unblock delivery bottlenecks before they become problems
  • Propose improvements and new approaches and solutions

Skills

Data engineering
SQL / Python
Azure
Snowflake
dbt Cloud
ETL pipelines

Education

Master's Degree

Tools

Snowflake Cortex
dbt Cloud
Azure Blob Storage
Python

Job description

IBM Consulting is seeking a Senior Data Engineer to own data engineering initiatives end-to-end, designing ELT pipelines from Azure Blob Storage to Snowflake. You will develop dbt models and Python-based orchestrations, leveraging Snowflake Cortex for AI-driven use cases.

You will bridge business and delivery teams, proactively removing bottlenecks and proposing innovative data solutions. The ideal candidate holds a Master’s Degree with 5+ years in data/analytics engineering, plus 4+ years

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