Senior Data Engineer — Databricks & Azure Platform

Sii Poland

Bydgoszcz

On-site

PLN 190,000 - 260,000

Full time

1 hour ago
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Benefits offered by this job

Great Place to Work
Centre of internal trainings
Profit sharing
Medical care
Open and accessible management team

Job summary

Sii Poland is seeking a Senior Big Data Developer to design and build a modern data platform using Databricks and the Azure ecosystem. You will design scalable data solutions, optimize ETL/ELT pipelines, and integrate data from multiple sources to enable end-to-end workflows.

The role requires 5+ years in data engineering, strong Python/PySpark skills, and fluency in English. Candidates should be excited about AI-assisted development tools and cutting-edge data architectures.

Qualifications

  • At least 5 years of experience in a Data Engineer, Big Data Engineer, or similar role.
  • Strong hands-on experience with Python and PySpark.
  • Proven experience with Databricks, Delta Tables, and modern data architectures.
  • Practical knowledge of the Microsoft Azure ecosystem, including Azure Data Factory and Azure Event Hub.
  • Experience building and maintaining scalable ETL/ELT pipelines.
  • Advanced level of English.
  • Interest in modern technologies and AI-assisted development tools.

Responsibilities

  • Design and develop data solutions using Databricks, Python, and PySpark.
  • Build and optimize ETL/ELT pipelines for batch and streaming data processing.
  • Implement and maintain medallion architecture using Delta Tables.
  • Integrate data from multiple sources, including SFTP files, Delta Tables, and Azure Event Hub.
  • Work with Azure services such as Azure Data Factory to support end-to-end data workflows.

Skills

Python
PySpark
Databricks
Delta Tables
Azure Data Factory
Azure Event Hub
ETL/ELT pipelines
English

Tools

Databricks
Delta Tables
Azure Data Factory
Azure Event Hub

Job description

Sii Poland is seeking a Senior Big Data Developer to design and build a modern data platform using Databricks and the Azure ecosystem. You will design scalable data solutions, optimize ETL/ELT pipelines, and integrate data from multiple sources to enable end-to-end workflows.

The role requires 5+ years in data engineering, strong Python/PySpark skills, and fluency in English. Candidates should be excited about AI-assisted development tools and cutting-edge data architectures.

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