Forward Deployed Data Engineer AI & Robotics
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Job description
The Role:Forward Deployed Data Engineersare a keyinterfacebetween our coredata systems and our researchandproduct engineeringprojects.As an early member of ourrapidly growingteam,you'llwork side-by-side with scientists and engineers in bioinformatics, healthcare, robotics, agriculture, andfrontierAI. You willdisseminatedata engineering best practicesinto theresearch and appliedteams,ensuringthat the datasetsusedfor ourAI modelsareaccurate,reproducible, versioned-controlled,well-structured, and readyfor training. You will help scientists turn raw information from various sources into high-quality resources, ensuring our technical foundations support the next generation of discovery.
This is a hands-on role for engineers who thrive on collaborating directly with researchers, solving problems quickly, and turning complex business logic into scalable, reliable data pipelines while contributing to the broader EIT platform. Successful candidates will be clear, respectful communicators who are comfortable bringing their ownexpertiseinto diverse groups.
Day-to-Day, You Might:
Partner with scientists and engineers to deliver robust, reproducible data pipelines that meet research needs across disciplines.
Own ingestion, storage, curation, and transformationof multimodal data, including text, images,structured/tabular data, and high I/O formats such asArrow/NetCDF/HDF5.
Package and deploy code in research environments using containers (e.g.Docker).
Scale processingacross distributed cloud warehouses/storagevia container orchestration (e.g.Kubernetes),distributed compute frameworks (e.g.Spark, Ray),orHigh-Performance Compute (e.g.Slurm).
Work with sensitive data in line with security and compliance requirements (audit trails, encryption,GDPR, RBAC/ABAC).
Contribute to an engineering culture that values maintainability, testing,robustsystem design, and deep collaboration, but allows flexibility for rapid prototyping andresponsiveness to changing landscapes., Our Forward Deployed Engineers will have the opportunity to work on diverse projects,and to expand their skillset,but will addparticular valuewhen they can match their data engineeringexpertisewithdomain knowledge relevant toaproject.
Does oneof these domains fit you?Health/ClinicalData Engineering:
In-depth knowledge andexpertisein human healthcaredata, clinical data, patient journey and/orbiocuration
Feature engineering for predictive modelsutilisinghealth data
Transformation of clinical data into commondatamodels, and design of new models
Clinical data quality control and analytics
Differential privacy systems, PII-handling, andanonymisation/pseudonymisation
Requirements
You have strong programming experience in Python and SQL, and value code quality, reliability (including testing, CI/CD) and observability as much as performance
You have experience designing, deploying, and optimising distributed data systems or data-intensive backend services
You think in terms of systems and longevity, not just one-off ETL scripts, and embrace end-to-end ownership from low-level performance to user interfaces
You're a collaborative partner to Infrastructure/Ops teams and researchers; clear, respectful communicator.
You have a low-ego, team-first mindset and help grow our engineering culture by mentoring, sharing, and elevating the work of those around you, Experience inbioinformaticsanduse ofindustry-standardtoolingsuch asNextFlowor similar
Genomic/metagenomicdata processinge.g.genome assembly and annotation
Comfortable with relevant data formats such asfastq/fasta,vcfetc
Conversion of genomic data into ML-ready formats