Backend and Data Engineer

Marc Ellis; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading technology consultancy is seeking a Backend and Data Engineer for a 12-month contract in Dubai. The ideal candidate will have a strong background in the healthcare industry and experience with cloud-native development, data pipelines, and LLM solutions. Responsibilities include designing low-latency backend systems and developing secure APIs. Excellent opportunity to work on mission-critical healthcare applications.

Qualifications

• Over one year of hands-on experience in backend development.
• Experience with developing solutions based on LLMs.
• Background in healthcare industry.

Responsibilities

• Design and build robust, scalable, and low-latency backend infrastructure.
• Develop data ingestion pipelines for structured and unstructured health data.
• Create secure APIs and ensure system reliability.

Skills

Cloud-native backend development

Database management (SQL, NoSQL)

Building data pipelines

Healthcare data standards (FHIR, HL7)

Job description

Overview

Titel: Backend and Data Engineer

Duration: 12 months extendable contract

Location: Dubai, UAE

Background: Healthcare Industry

We are seeking to augment our core project team with world-class external talent for an initial engagement of 12 months, with the potential for extension. All candidates must possess a background in the healthcare industry and have over one year of hands-on experience in developing and deploying solutions based on the agentic AI paradigm and LLMs.

Role Definition

• Responsible for designing and building the robust, scalable, and low-latency backend infrastructure that powers the project. This includes developing data ingestion pipelines for structured and unstructured health data, creating secure APIs, and ensuring the reliability of our critical systems.
• Capabilities: Extensive experience with cloud-native backend development (e.g., microservices, serverless), database management (SQL, NoSQL, Vector DBs), and building data pipelines for large-scale, mission-critical applications. Experience with healthcare data standards (e.g., FHIR, HL7) is highly preferred.