Job Description: Platform Data Engineer
Role Overview:
We are looking for a pragmatic and technically skilled Data Engineer with a focus on engineering for diverse data types - including; natural language, geospatial and biological data. This role is ideal for someone with experience in building robust data pipelines to support health or biological applications.
This is a truly exciting opportunity to work with leading global institutions, government agencies, and country partners at the intersection of AI, public health & pathogen genomics to generate positive social impact whilst leading on cutting edge AI initiatives in APAC and the wider world!
Responsibilities:
- Build and monitor scalable data ingestion pipelines for structured datasets (e.g., genomic repositories, scientific literature, climactic datasets, socio-economics).
- Automate ETL processes, pre-processing workflows, and model lifecycle operations (kafka, airflow)
- Collaborate with bioinformatics experts to ensure data quality and traceability.
- Assist with deployment and maintenance of machine learning models using FastAPI and containerized microservices.
- Manage model inference endpoints and batch inference workflows (e.g., AWS Batch or K8s).
- Implement CI/CD pipelines for ML workflows using tools like GitHub Actions, Docker, Terraform
Essential Qualifications:
- 2+ years of experience deploying and maintaining data pipelines in python.
- Strong Python and data skills
- Experience with Docker, container orchestration, and cloud deployments (AWS preferred).
- Experience with data engineering workflows (e.g., Airflow, Prefect, Kafka, K8s).
- Strong experience with data engineering best practices.
Bonus Qualifications:
Experience or familiarity with one or more of the following areas will be highly advantageous:
- Domain expertise or strong interest in biological or geospatial data
Desired Personal Attributes:
- Start-up mentality (flexible & pragmatic)
- Strong collaboration skills in multi-disciplinary environments.
- Systems thinking and a bias toward reliability & scalability.
- Ability to design practical, maintainable data & ML infrastructure.
What We Offer:
- A mission-driven environment focused on improving global public health.
- Opportunities to work on high-impact problems in AI and pathogen genomics.
- A flexible and collaborative work culture with a commitment to innovation.
- Low bureaucracy - direct ownership of the product, no ticket-factory work.
- Competitive salary & paid leave
- Hybrid-friendly work pattern
- No-crunch culture
Join us to help operationalize the future of genomic intelligence and deploy real-world AI tools that matter.