Senior Data Engineer
Location not identified
- Pay
- Pay not listed
- Work setting
Remote — work setting 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.
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build, and monitor ETL pipelines using Azure and Spark
Implement scalable cloud-native data processing workflows in PySpark
Translate business needs into reliable and secure data products
Ensure data quality, governance, and performance across solutions
From the employer’s posting
Design, build, and monitor ETL pipelines using Azure and Spark technologies
Implement scalable, cloud-native data processing workflows using PySpark
Translate business needs into reliable and secure data products
Ensure data quality, governance, and performance best practices across solutions
What you’ll bring
All qualificationsCore experience
- At least 4 years of data engineering experience
- Proven experience with large-scale data processing pipelines
- Hands-on knowledge of Azure or other major cloud platforms
- Solid Python (pandas/numpy) and SQL coding skills
Qualification wording
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
Tools in this posting
- Bash
- Python
- SQL
- Azure
- Databricks
- Docker
- Kubernetes
- NumPy
- pandas
- PySpark
Source — Tool mentions in context
Nice to Have - Experience with Linux/Bash scripting - Familiarity with Docker or Kubernetes
- 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
- 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.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026 · 149 days ago
- Recorded sightings
- 195
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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
Source details
Source notes
Source excerptsSelected 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.
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