Cloud Data Engineer: Data Lake, Azure Databricks & ML

Sii Poland

Katowice

On-site

PLN 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Great Place to Work
Competitive compensation
Centre of internal trainings
Many experts you can learn from
Profit sharing
Medical care

Job summary

Sii Poland is hiring for a Data & Analytics role focused on designing scalable data processing platforms in Data Lake and Data Platform architectures. You will build ETL/ELT pipelines in Azure Databricks, model data, and support analytics teams across projects.

Ideal candidates have 4+ years of experience with Spark/PySpark, Azure data services, and strong SQL/Python skills. Fluency in English and Polish is required, and the role is based in Poland.

Qualifications

  • 4+ years of hands-on experience in data processing projects with large data volumes.
  • Strong SQL and Python skills with ability to implement scalable data pipelines.
  • Proficient in Spark/PySpark and data processing frameworks.
  • Experience designing Data Lake/Data Warehouse solutions and ETL/ELT pipelines.
  • Experience with cloud-based Azure data processing (Databricks, Data Factory, Synapse, Fabric).
  • Fluent in English and Polish; able to work in Poland.

Responsibilities

  • Design, build, and scale data processing platforms in Data Lake/Data Platform architectures.
  • Create and maintain ETL/ELT pipelines for Azure Databricks data integration.
  • Model data and prepare structures for analytics and business needs.
  • Implement batch and near real-time data processing solutions.
  • Monitor, optimize, and enhance existing pipelines and processes.
  • Collaborate with analysts, BI teams, and Data Science on data prep and sharing.
  • Gather requirements and propose optimal tech solutions.
  • Document technical designs and solutions.

Skills

SQL
Python
English
Polish

Tools

Apache Spark / PySpark
Azure Databricks
Azure Data Factory
Azure Synapse
Fabric

Job description

Sii Poland is hiring for a Data & Analytics role focused on designing scalable data processing platforms in Data Lake and Data Platform architectures. You will build ETL/ELT pipelines in Azure Databricks, model data, and support analytics teams across projects.

Ideal candidates have 4+ years of experience with Spark/PySpark, Azure data services, and strong SQL/Python skills. Fluency in English and Polish is required, and the role is based in Poland.

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