This is a remote position.

Main Responsibilities

• 
  Design, build, and monitor
  ETL pipelines
  using
  Azure
  and
  Spark technologies

• 
  Implement scalable, cloud-native
  data processing workflows
  using
  PySpark

• 
  Configure and operate core Azure services:
  Databricks
  ,
  Azure Data Factory
  ,
  Azure Data Lake Storage
  , and
  Azure Functions

• 
  Collaborate closely with analysts, data scientists, and software engineers to deliver robust data solutions

• 
  Translate business needs into reliable and secure data products

• 
  Ensure data quality, governance, and performance best practices across solutions

Requirements

• 
  At least
  4 years
  of professional experience in
  data engineering

• 
  Proven experience with
  large-scale data processing and transformation pipelines

• 
  Hands-on knowledge of
  Azure
  or other major
  cloud platforms

• 
  Solid coding skills in
  Python
  (especially pandas/numpy) and
  SQL

• 
  Familiarity with
  Git workflows
  in a collaborative development setting

• 
  Fluency in
  Polish
  and
  English
  (
  C1 minimum
  level in English required)

Nice to Have

• 
  Experience with
  Linux/Bash scripting

• 
  Familiarity with
  Docker
  or
  Kubernetes

• 
  Domain experience in
  retail
  ,
  financial services
  ,
  energy
  , or the
  public sector

Benefits

• 
  Solid, competitive salary.
• 
  Work in multilingual, multinational and multicultural environment on international projects
• 
  Medical care