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

Inetum • English • Polish • Space & Aerospace • IT Consulting & Digital Transformation • Python • SQL • ETL/ELT • Azure Data Factory • 3 months ago

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Salary

≈ $48k – $86k per year (Estimated)

Location

Hybrid (Warsaw, Poland)

Seniority

Middle

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Jul 17, 2026. Inetum scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Inetum

Inetum is a European digital services company founded in France in 1970 as Gfi Informatique and renamed in 2021 after its acquisition by the private equity firm Bain Capital. It provides consulting, application development, infrastructure and managed services to clients across roughly twenty countries, with particular strength in France, Spain, Portugal and Belgium and a large nearshore delivery base in Morocco and Eastern Europe. Alongside services the group publishes its own software for public administration, human resources and finance, which gives it recurring licence revenue that pure services competitors lack.

inetum.com • HQ: Saint-Ouen-sur-Seine, France • Managed IT Services (MSP) • Systems Integrators • IT Consulting & Digital Transformation • 5000+ employees • Est. 1970

Tech stack of Inetum

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.

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

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

We will contact selected candidates only.

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