A data engineer lead is responsible to bridge between business and technical implementation, raw data and production-ready environments by designing scalable infrastructure, automating data pipelines, and mentoring teams.
Provide application support, participate in application customization and integration, user training, installation, implementation support and maintenance to ensure the system availability as per agreed SLA.
Candidates should possess strong skills in Structural Engineering and Civil Engineering for the design and assessment of building and infrastructure projects.
Repairing, maintenance, and asset tracking of a variety of IT systems, including desktop computers, laptops, tablet hardware, printers, EPOS terminals, and handheld scanners.
Responsible for managing, monitoring, and coordinating the repair and overhaul of airline-owned and leased engines, modules, and Class 1 material assets.
Responsible for leading a site-based team numbering over 90 who supervise the three contract packages (Civil, Electrical & Mechanical & Resettlement) to ensure the contracts are complied with. The site-based team is a blended team, comprising a mix of consultant’s staff and staff seconded from the client.
Architecture & Pipeline: Design and govern data model (Medallion architecture) and oversee the implementation (e.g. data lakes, build automated batch / real-time streaming pipelines, data source integrations)
Supports patient diagnosis and treatment by installing, testing, calibrating and repairing biomedical equipment; training users; maintaining safe operations.
You are a technology aficionado, therefore exposure to generative and agentic AI or AI-assisted software engineering practices would be an advantage. You are able to work independently, prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful