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Data Engineer – Autonomous Systems
Ellison Institute of Technology Oxford. Build high-throughput, low-latency ingestion for live video, sensor telemetry, robot joint state, and instrument control signals .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong programming expertise in Python and experience with real-time data streaming technologies such as Kafka. Capable of building high-throughput data ingestion systems and collaborating effectively with cross-functional teams in automated lab or life sciences environments.
Highest-signal resume keywords
Python ProgrammingReal-Time Data StreamingKafka ExperienceData Ingestion APIsEnd-to-End Systems Ownership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IngestionSchema DesignStateful Stream ProcessingVersion ControlData Provenance
Soft Skills
Clear CommunicationCollaboration
Tools & Technologies
MQTTFastAPIGRPCGraphQLFlink
Industry Keywords
Automated Lab EnvironmentsRoboticsInstrument APIsPhysical-System Data PipelinesModel Training
Tech Stack
Tools & technologiesCloudGraphQLGRPCKafkaPython
About the role
Key responsibilities & impact- Build high-throughput, low-latency ingestion for live video, sensor telemetry, robot joint state, and instrument control signals
- Integrate validation at the edge before data reaches the cloud
- Work across the edge-to-cloud stack, including edge devices, MQTT brokers, Kafka topics, cloud storage, and APIs
- Convert robot state, instrument output, and video streams into structured database transactions
- Build a knowledge graph linking inputs to results and tracing facts to source video segments and sensor readings
- Prepare formats, sampling, labelling, and provenance for model training and evaluation
- Collaborate with AI researchers, software engineers, robotics engineers, and domain scientists
- Contribute to robust system design, testing, rapid prototyping, and responsive engineering
Requirements
What you’ll need- Strong programming experience in Python
- Code quality, reliability, and performance focus
- End-to-end systems ownership from device output to APIs
- Experience with real-time data streaming, including Kafka or Pub/Sub (or equivalent)
- Understanding of high-frequency, low-latency data capture
- Reproducibility, version control, schema design, and lineage knowledge
- Clear and respectful communication and collaboration with scientists, roboticists, and researchers
- Experience in automated lab or life sciences environments, instrument APIs, and lab protocols (preferred)
- Experience with physical-system data pipelines, including robotics, MQTT, autonomous vehicles, lab or clinical instruments, or industrial control (preferred)
- Knowledge of knowledge, entity, search, or feed systems with continuous updates (preferred)
- Stateful stream processing with Flink, Kafka Streams, Beam, or similar; event time, watermarks, and exactly-once (preferred)
- Data ingestion and consumption APIs using FastAPI, gRPC, or GraphQL (preferred)
- Graph stores and entity resolution or curation at scale (preferred)
- Experience curating training or evaluation data or building model data systems (preferred)
- Permanent right to work in the UK
Benefits
Comp & perks- Travel allowance
- Bonus
- 25 days annual leave plus 8 bank holidays
- Additional 3 days between Christmas and New Year
- Opportunity to purchase an additional 5 days annual leave in January and July
- Pension with 7.5% employer contribution and minimum 5% employee contribution
- Life Assurance
- Income Protection
- Private Medical Insurance for employee, partner and dependents, including hospital Cash Plan
- Employee discounts
- Electric car scheme
- Nursery Salary Sacrifice scheme
- Cycle to Work Scheme
- Family Planning
- Neurodiversity support including advise and assessments
- Coaching & Therapy services