Aerospace Data Engineer: Cloud Pipelines & Spark

Inetum; Poznań; On-site; PLN 180,000 - 290,000; Full time

Job summary

Inetum is seeking a Data Engineer to design, develop, and maintain data pipelines in a cloud-based environment. The role focuses on building scalable ETL processes, processing large data volumes, and ensuring data quality for predictive maintenance projects.

The ideal candidate will have strong Python experience, solid SQL skills, and hands-on work with Databricks and Spark, plus familiarity with Azure data services. English and Polish at B2/C1 are required for collaboration across teams.

Qualifications

• Good knowledge of SQL.
• Experience with Python programming.
• Experience as a Data Engineer in data-focused projects.
• Experience with Databricks.
• Experience with Spark.
• Understanding of Big Data processing tools and standards.
• Experience with Azure data services will be an advantage.
• Polish and English language skills at B2/C1 level.

Responsibilities

• Designing, developing, and maintaining data pipelines.
• Building and optimizing ETL processes.
• Processing and transforming large volumes of data.
• Working with Databricks and Spark-based solutions.
• Developing data processing scripts in Python.
• Collaborating with technical and business teams.
• Ensuring data quality and performance of the data platform.

Skills

SQL

Python

Polish

English

Tools

Databricks

Spark

Azure Data Factory

SQL Database

Job description

Inetum is seeking a Data Engineer to design, develop, and maintain data pipelines in a cloud-based environment. The role focuses on building scalable ETL processes, processing large data volumes, and ensuring data quality for predictive maintenance projects.

The ideal candidate will have strong Python experience, solid SQL skills, and hands-on work with Databricks and Spark, plus familiarity with Azure data services. English and Polish at B2/C1 are required for collaboration across teams.