National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Technical Data Engineer – Civil Aero Engine Programs - China

Shanghai
1 month ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Data Scientist

Data Engineering Manager

Head of Data Science & AI Delivery | London, UK

Principle Data Engineer

Senior Data Engineer

Technical Data Engineer – Civil Aero Engine Programs - China.

Our Aerospace client based in Shanghai, China, are looking to appoint a Technical Data Engineer to be engaged on their Civil Aero Engines programs in Shanghai. 

This will be a long term role. Fixed term contracts will be offered to the successful candidate. If you are interested to live and work in Asia, this opportunity will allow that to happen with plenty of time to explore this region, its culture and customs.

Job Description:

The Technical Data Engineer will be responsible for managing, developing, and ensuring compliance of technical documentation related to civil aircraft engines.

Key duties include:
Developing business rules for technical data and performing source data analysis.
Compiling and revising engine-level and aircraft-level technical documents.
Leading airworthiness compliance efforts for technical data validation and assisting with type certification processes.
Creating, verifying, and releasing Interactive Electronic Technical Publications (IETPs).
Ensuring quality control of technical documents, delivering training, and supporting technical queries.Qualifications:
Bachelor's degree or above in Aircraft Propulsion, Aerospace Engineering, Mechanical Engineering, Automation, Electrical, or related disciplines; graduate degree preferred.
3+ years of relevant experience in one or more of the following:
Aircraft/engine maintenance
Design and development
Engineering or assembly
Familiarity with aero engine structures and systems.
Experience with aviation technical manuals and documentation (ATA standards, IETPs, etc.) preferred.
Strong organizational, analytical, communication, and coordination skills.
Proficiency in English, particularly technical reading and communication.Preferred Background:

Ideal candidates will have experience working with or supplying to major OEMs or MROs such as:
GE, Pratt & Whitney (PW), Rolls-Royce (RR), MTU
Airlines: China Eastern Airlines, China Southern Airlines
Other civil aviation-related engine programs or maintenance organizations.Candidates who are willing to live and work in Shanghai, China for 1 -3 years initial contract are invited to apply

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.