Senior Azure Data Engineer - Hybrid (Databricks & Spark)

ZdalnaPraca; Polska; Hybrid; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Hybrid work model

Remote days available

Training platforms

Growth opportunities

InterPolska Health Care

Job summary

Mindbox is seeking a Senior Azure Data Engineer to design and develop a modern data platform leveraging Azure Databricks, Apache Spark, and Data Lake. You will build scalable data pipelines and optimize ETL/ELT processes for analytics and reporting.

The role emphasizes Python and SQL development, data modeling, and collaboration with data architects and analysts. Hybrid work is available with a few days in Warszawa; training platforms and comprehensive benefits accompany the position.

Qualifications

• 5+ years of experience as a Data Engineer.
• Strong expertise in Azure Data Platform and Azure Databricks.
• Solid knowledge of Apache Spark and distributed data processing.
• Proficient in Python and SQL.
• Experience with Data Lake architectures and data modeling.
• Familiarity with Git and collaborative development workflows.

Responsibilities

• Design and develop data processing workflows and pipelines.
• Build and maintain scalable data pipelines for analytics and reporting.
• Work with Azure Databricks and Spark for large-scale data transformations.
• Develop robust solutions using Python and SQL.
• Integrate data from multiple sources and ensure data quality.
• Optimize performance and efficiency of ETL/ELT processes.
• Monitor data flows and troubleshoot issues to ensure stability.
• Collaborate with data architects, analysts, and business teams.

Skills

Azure Databricks

Azure Data Platform

Apache Spark

Python

SQL

Data Lake

Data Modeling

Git

Big Data

Distributed processing

Tools

Hive

Apache Impala

CI/CD pipelines

Job description

Mindbox is seeking a Senior Azure Data Engineer to design and develop a modern data platform leveraging Azure Databricks, Apache Spark, and Data Lake. You will build scalable data pipelines and optimize ETL/ELT processes for analytics and reporting.

The role emphasizes Python and SQL development, data modeling, and collaboration with data architects and analysts. Hybrid work is available with a few days in Warszawa; training platforms and comprehensive benefits accompany the position.