Data Engineer – Azure Databricks

your Jared; Warszawa; Hybrid; PLN 138,000 - 179,000; Full time

Benefits offered by this job

100% remote work

Job summary

your Jared is hiring a Data Engineer to build and optimize scalable data solutions in Microsoft Azure. The role focuses on ETL/ELT pipeline development using Azure Databricks, Python, PySpark, and Azure Data Factory.

You will implement automated tests, data quality controls, monitoring, and CI/CD automation while ensuring production readiness and performance scalability in a remote setup with international collaboration.

Qualifications

• Minimum 2 years of experience with Microsoft Azure.
• Hands-on experience with Azure Databricks, Azure Data Factory, and Azure DevOps.
• Proficient in Python and PySpark; strong SQL and data modeling skills.
• Experience with CI/CD, automated testing, and TDD.

Responsibilities

• Build and optimize scalable data pipelines and ETL/ELT processes.
• Process data using Python and PySpark.
• Develop solutions based on Azure Databricks, Azure Data Factory, and Azure Storage.
• Implement automated tests, data quality controls, and monitoring.
• Participate in CI/CD processes and deployment automation.
• Troubleshoot data performance and scalability issues.
• Collaborate with technical and business teams.

Skills

Azure Databricks

Python

PySpark

SQL

Tools

Azure Data Factory

Azure DevOps

Job description

# Data Engineer – Azure DatabricksWarsaw, PolandRemoteplvia direct// Job TypeFull Time// SalaryPLN 100 - 130/hour// Salary Range100–130 PLN / hour// Posted1 day ago// Work Moderemote## About the RoleQuick Facts Role: Data Engineer (Regular) Work model: 100% remote Collaboration: B2B Rate: up to 130 PLN netto + VAT/h Start: to be determined Language: very good English Description In this role you will build and optimize scalable data solutions in Microsoft Azure, using Azure Databricks, Python, PySpark, and Azure Data Factory. You will focus on ETL/ELT pipeline development, data processing, and production readiness with testing, data quality controls, monitoring, and CI/CD automation. Responsibilities Build and optimize data pipeline’ów and ETL/ELT processes Process data using Python and PySpark Develop solutions based on Azure Databricks, Azure Data Factory, and Azure Storage Implement automated tests, data quality controls, and monitoring Participate in CI/CD processes and deployment automation Troubleshoot data performance and scalability issues Collaborate with technical and business teams Requirements Minimum 2 years of experience with Microsoft Azure Practical knowledge of Azure Databricks, Azure Data Factory, and Azure DevOps Very good knowledge of Python and PySpark Good knowledge of SQL, data modeling, and ETL/ELT processes Experience with CI/CD, automated testing, and TDD Knowledge of data quality, data governance, and data integration Experience working in DevOps and Agile/Scrum environment Very good English proficiency Benefits 100% remote work Rate up to 130 PLN netto + VAT/h on B2B Long-term collaboration International project using modern Azure technologies