Data Engineer (Regular) | Aerospace Industry | 3-Month Project | ASAP Start

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

Company Description

Join an innovative project in the aerospace industry focused on developing a predictive maintenance system for jet engines. We are looking for a Data Engineer to support the development and enhancement of modern data solutions in a cloud-based environment.

Company Description

Join an innovative project in the aerospace industry focused on developing a predictive maintenance system for jet engines. We are looking for a Data Engineer to support the development and enhancement of modern data solutions in a cloud-based environment.

Job Description

Your 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

Tech Stack

• Azure PaaS (Data Factory, SQL Database, Data Services)
• Databricks
• Spark
• Python
• SQL
• ETL

Qualifications

Requirements

• 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

Additional Information

We will contact selected candidates only.