Technical Data Engineer – Civil Aero Engine Programs - China

Shanghai
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Senior Data Engineer - Platforms and Tooling

Senior Data Engineer - Platforms and Tooling

Senior Data Engineer - Platforms and Tooling

Senior Data Engineer - Platforms and Tooling

Lead Data Engineer - Department for Transport - G7

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

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.