Job Description:
Overview
Are you ready to make a real impact in the aerospace industry? At Expleo, we partner with world‑leading organisations to innovate, optimise and transform critical operations. As a Data Engineer, you'll play a key role in helping our clients move from reactive, fast‑response operations to data‑driven, predictive, and efficient service models. If you thrive in a technical environment where data, engineering, and problem‑solving intersect, this role is for you.
Responsibilities
- Rapidly design, configure and deploy EHM solutions that improve service effectiveness
- Maintain and ensure the continuity of data supply chains across EHM systems
- Analyse operational issues and act quickly to support real‑time service continuity
- Capture and refine EHM improvement requirements through forums such as Value Delivery Boards and Project Zero
- Work directly with customers to enhance service value and identify future EHM opportunities
- Identify valuable insights in engineering and performance data and deploy them into live production
- Support testing, validation and implementation of the next‑generation EHM platform
- Collaborate with internal and external stakeholders on data quality, modelling accuracy and performance reportings
Qualifications
- A degree in Engineering, Data Science, IT, or a closely related discipline
- Equivalent practical experience in Engine Health Monitoring or service engineering also considered
- Certifications in cloud platforms (Azure preferred) or data engineering are beneficial but not essential
Essential skills
- Engineering, Data Science, IT or related experience in engine performance, EHM, or service engineering
- Strong results focus, able to work under pressure and manage both immediate issues and long‑term projects#
- Confident communicator with strong interpersonal skills
- Self‑motivated, positive attitude and strong teamwork capability
- Good technical problem‑solving skills and comfort working with large datasets
- Strong IT user & configuration skills across tools such as:
- SQL
- Power BI
- MATLAB
- Python
- MS Azure
- Databricks
Desired skills
- Experience in aerospace or turbomachinery data
- Background in digital twins, predictive maintenance or performance modelling
- Familiarity with service operations environments
- Experience improving data pipelines or automating analytics workflows