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

Nominate & Attend

Data Technology Engineer- Aerospace - China

Shanghai
4 days ago
Create job alert

Data Technology Engineer- Aerospace - China.

Our Aerospace client based in Shanghai, China, are looking to appoint a Data Technology Engineer to be engaged on their aerospace 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.

The successful candidate can expect to receive a package including living expenses and tax fee bonuses in addition to a high salary.

Responsibilities:
Participate in the digital transformation of the company.
Lead research on key technologies for automated process design using machine learning.
Lead team to implement independent and controllable data management applications.
Study in-depth applications of AI and big data in civil aircraft manufacturing.Qualifications:
PhD from a Double First-Class university in China or a top 100 QS-ranked international university.
Proficient in AI algorithms including machine learning, deep learning, NLP, and reinforcement learning.
Proficient in Python, C++, and other programming languages.
Proficient in big data technologies, including distributed storage, stream processing, and visualization.
Practical experience in AI projects with real-world applications and outcomes.
Ability to quickly learn new technologies and adapt to new environments.
Strong teamwork and project leadership skills.Candidates wishing to be considered for this role, should forward their CV in the 1st instance for review

Related Jobs

View all jobs

Senior Business Analyst (Data & Technology)

Senior Business Analyst (Data & Technology)

Senior Business Analyst (Data & Technology)

Senior Business Analyst - Data focused

Senior Business Analyst (Data & Tech)

GCP Data Engineer

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.

How to Find Hidden Data Engineering Jobs in the UK Using Professional Bodies like BCS, IET & More

As UK organisations continue to scale their data capabilities, the role of the data engineer has become one of the most vital in the digital economy. From designing pipelines and managing infrastructure to enabling machine learning models, data engineers are the backbone of every data-driven organisation. But while demand is high, the most rewarding roles are often never posted publicly. In this article, we’ll show you how to discover hidden data engineering jobs in the UK by strategically engaging with professional bodies like the BCS, IET, TechUK, and UK data communities. By joining specialist groups, attending CPD events, and using member directories, you can unlock a wave of unseen job leads—and connect with hiring managers long before roles are advertised.

How to Get a Better Data Engineering Job After a Lay-Off or Redundancy

Redundancy can be unexpected and unsettling, especially in a field as technically demanding as data engineering. But the good news is: your skills are still in high demand. The UK continues to see strong growth in data infrastructure, cloud analytics, machine learning pipelines, and data governance roles. Whether you're a big data engineer, ETL specialist, cloud data platform expert, or someone working in real-time streaming and pipelines, there are new opportunities to rebuild and rebrand your career. This guide is designed to help UK-based data engineers bounce back after a redundancy, with a step-by-step roadmap to relaunch into a stronger, better-aligned role.

Data Engineering Jobs Salary Calculator 2025: Work Out Your True Worth in Seconds

Why last year’s pay survey misleads data engineers today Ask any Data Engineer elbow‑deep in late‑arriving CDC streams, an Analytics Engineer stockpiling dbt models, or a DataOps Lead juggling Airflow failures: “Am I earning what I deserve?” The answer changes monthly. New GPU‑hungry AI workloads spike storage costs, lakehouse toolchains displace legacy marts, & suddenly real‑time streaming isn’t “nice to have” but the lion’s share of your backlog. Each shift nudges salary bands. A PDF salary guide printed in 2024 under‑reports pay the moment Databricks announces another acquisition or HMRC mandates digital provenance. To provide an up‑to‑date benchmark, DataEngineeringJobs.co.uk distilled a transparent, three‑factor formula. Plug in your discipline, UK region, & seniority; out pops a realistic 2025 salary. No stale averages, no guesswork. This article unpacks the formula, details the forces pushing data‑engineering pay upward, & offers five practical actions to lift your value in the next ninety days.