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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on developing modern data solutions within a Azure environment, emphasizing Python for data engineering and building and maintaining ETL/ELT pipelines. Responsibilities include designing and implementing data workflows using Azure Data Factory, Snowflake, Databricks, and SQL, ensuring data quality, and supporting system integrations. Practical knowledge of CI/CD and version control tools is required along with collaboration with BI and ML teams.
Data Engineer (Azure / Python / ETL) – Remote
Company: SQUARE ONE RESOURCES sp. z o.o.
from: 29 July 2026
to: 28 August 2026
salary not specifiedB2B contract (full-time)
Salary details
basic salary
Offer parameters
level:mid
working mode:remote
location:Warszawa, Masovian
Warszawa, Masovian
Requirements
Expected technologies
Python
SQL
Azure Data Factory
Azure Blob Storage
Azure SQL Database
Azure Synapse
Azure Key Vault
Databricks
Snowflake
Logic Apps
Optional technologies
PySpark
Scala
Power BI
Our requirements
- Minimum 3 years of professional experience in Data Engineering or a similar role
- Strong hands-on experience with Python development for production data solutions
- Solid knowledge of SQL and data processing concepts
- Practical experience with Azure data services (2–3+ years), including technologies such as Azure Data Factory, Azure Blob Storage, Azure SQL Database, Azure Synapse, Azure Key Vault, Logic Apps, SharePoint integrations
- Experience building and maintaining ETL/ELT pipelines
- Experience with workflow orchestration, especially Azure Data Factory
- Experience with Databricks and/or Snowflake
- Good understanding of CI/CD practices and version control using Azure DevOps or GitHub
- Knowledge of data governance concepts, including metadata, data lineage, security, compliance, and master data management
- Business-level English skills (B2–C1)
Optional
- Azure Data Engineer or Data Analytics certification
- Experience with PySpark and/or Scala
- Understanding of BI tools, including Power BI
- Experience working in analytics or supply chain-related environments
Your responsibilities
- Develop, optimize, and maintain big data ELT/ETL pipelines supporting statistical modelling and business intelligence solutions
- Design and implement robust data ingestion, staging, processing, and serving workflows using Microsoft Azure services
- Ensure data quality, integrity, monitoring, and reliability across data solutions
- Configure and maintain data storage solutions, including Snowflake data lake and SQL databases
- Build and support production-grade integrations between key components of the data infrastructure
- Write secure, scalable, and maintainable Python code that transforms business requirements into technical solutions
- Apply engineering best practices, including automation, CI/CD, version control, and code quality standards
- Collaborate with BI Analysts, Data Scientists, ML Engineers, and IT teams to deliver valuable data-driven solutions
About the project
Support the development of modern data solutions within a large-scale Azure environment
Build and maintain reliable data pipelines, ensuring high-quality data processing and enabling advanced analytics and business intelligence solutions
Focus strongly on Python-based data engineering, with less emphasis on reporting development
What we offer
- Equipment provided by the client
- ASAP start
- Planned project duration until the end of the year
- Long-term cooperation
Recruitment stages
- 1.Interview with the Team Lead
- 2.Interview with the client
- 3.Final decision
This is how we work
Data Engineer (Azure / Python / ETL) – Remote
I apply to:
SQUARE ONE RESOURCES sp. z o.o.
Warszawa, Masovian
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.