Senior Data Engineer

This is a remote position.
We are seeking a Data Engineer to join a cross-functional delivery team working on the development of data lakes , analytical platforms , and real-time streaming solutions using modern Azure technologies . This role offers the opportunity to work in an Agile environment with direct access to product and business owners, shaping high-impact data products from concept to deployment.
Main Responsibilities
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Design, build, and monitor ETL pipelines using Azure and Spark technologies

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Implement scalable, cloud-native data processing workflows using PySpark

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

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

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Translate business needs into reliable and secure data products

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

Requirements

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At least 4 years of professional experience in data engineering

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Proven experience with large-scale data processing and transformation pipelines

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Hands-on knowledge of Azure or other major cloud platforms

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

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Familiarity with Git workflows in a collaborative development setting

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

Nice to Have
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Experience with Linux/Bash scripting

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Familiarity with Docker or Kubernetes

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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

Originally posted on Himalayas