Data Engineer: Build Predictive Maintenance Data Pipelines

Inetum; Warszawa; On-site; PLN 130,000 - 190,000; Full time

Job summary

Inetum is seeking a Data Engineer for a 3-month project in the aerospace sector, with an ASAP start. The role focuses on developing a cloud-based predictive maintenance system for jet engines in a dynamic team.

You will design data pipelines, ETL processes, and work with Databricks, Spark, and Python while collaborating with technical and business stakeholders. Strong SQL and Big Data knowledge are required; Azure data services are a plus, and Polish/English at B2/C1 level.

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

Databricks

Spark

Python

SQL

ETL

Data pipelines

Job description

Inetum is seeking a Data Engineer for a 3-month project in the aerospace sector, with an ASAP start. The role focuses on developing a cloud-based predictive maintenance system for jet engines in a dynamic team.

You will design data pipelines, ETL processes, and work with Databricks, Spark, and Python while collaborating with technical and business stakeholders. Strong SQL and Big Data knowledge are required; Azure data services are a plus, and Polish/English at B2/C1 level.