Pay: Salary not listed in the saved posting
Work setup: Remote stated — work setup source
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.
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Employment: Unconfirmed

What you’ll work on

Design, build, and monitor ETL pipelines using Azure and Spark technologies
Implement scalable, cloud-native data processing workflows using PySpark
Collaborate closely with analysts, data scientists, and software engineers to deliver robust data solutions

From the employer’s posting

Main Responsibilities Design, build, and monitor ETL pipelines using Azure and Spark technologies Implement scalable, cloud-native data processing workflows using PySpark

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

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

What you’ll bring

All qualifications

Core experience

Proven experience with large-scale data processing and transformation pipelines
Experience with Linux/Bash scripting
Hands-on knowledge of Azure or other major cloud platforms
Familiarity with Docker or Kubernetes
Familiarity with Git workflows in a collaborative development setting

Qualification wording

Proven experience with large-scale data processing and transformation pipelines

Experience with Linux/Bash scripting

Hands-on knowledge of Azure or other major cloud platforms

Familiarity with Docker or Kubernetes

Familiarity with Git workflows in a collaborative development setting

Tools in this posting

Python
Azure
Databricks
Docker
SQL
Bash
Kubernetes
pandas
NumPy
PySpark

Source

- 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

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

Main Responsibilities - Design, build, and monitor ETL pipelines using Azure and Spark technologies - Implement scalable, cloud-native data processing workflows using PySpark

- 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

- 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

- Experience with Linux/Bash scripting - Familiarity with Docker or Kubernetes - Domain experience in retail, financial services, energy, or the public sector

Nice to Have - Experience with Linux/Bash scripting - Familiarity with Docker or Kubernetes

- 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

Benefits in the posting

Full benefits wording

Medical care

From the employer’s posting.

Job description

View original posting ↗

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

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

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on madiffpl.zohorecruit.com. The employer’s form will show what is required.

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Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Location not supplied.
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.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at madiffpl.zohorecruit.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Jun 3, 2026
Recorded sightings: 156
Last seen by us: Oct 8, 2026

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Senior Data Engineer