At a Glance
- Tasks: Join us as a Senior Data Engineer to build cutting-edge data platforms for global health solutions.
- Company: The Ellison Institute of Technology tackles major global challenges through innovative science and technology.
- Benefits: Enjoy competitive salary, enhanced holiday pay, private medical insurance, and more perks.
- Why this job: Make a real impact on health diagnostics while working in a collaborative and inclusive environment.
- Qualifications: Deep experience in cloud-based data platforms, proficient in Python, and strong data governance knowledge required.
- Other info: Must be willing to relocate to Oxford and work across time zones during peak periods.
The predicted salary is between 48000 - 84000 £ per year.
2 days ago Be among the first 25 applicants
The Ellison Institute of Technology (EIT) tackles humanity\’s greatest challenges by turning science and technology into impactful global solutions. Focused on areas like health, food security, sustainable agriculture, climate change, clean energy, and robotics in an era of artificial intelligence. EIT blends groundbreaking research with practical applications to deliver lasting results.
A cornerstone of EIT mission is its upcoming 300,000-square-foot research facility at the Oxford Science Park, set to open in 2027. This cutting-edge campus will feature advanced labs, an oncology and preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit.
The Pathogen Mission highlights EIT\’s transformative approach, using Whole Genome Sequencing (WGS) and Oracle\’s cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health.
EIT fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity\’s enduring challenges.
We are looking for a Senior Data Engineer to join the EIT Pathogen Program and play a key role in designing, implementing, and supporting the cloud-based data platform that underpins our mission. This role offers the opportunity to shape the future of pathogen monitoring and diagnostics by building scalable, secure, and high-performance data pipelines. You\’ll work closely with cross-functional teams, including data architects, platform engineers, and product teams, to deliver the data infrastructure that powers advanced analytics and AI-driven solutions for global health impact.
Key Responsibilities:
- Ensure data in the platform is acquired, processed, curated, and made accessible to scientists, digital analytics products, bioinformatics, and AI at a high standard of quality and availability
- Ensure data access adheres to FAIR principles (Findable, Accessible, Interoperable, and Re-usable)
- Ensure data is secured and compliant with regulatory, legal, and data sharing requirements
- Ensure efficient, performant, and high-quality pipelines for data ingestion into the platform
- Contribute to building data management components, including reference data management, de-identification, data curation, pathogen and technical metadata catalogues, and data access controls
- Ensure efficient, secure, scalable, available, and performant data storage components, including genomic variant storage, clinical data stores, and clinical imaging
- Ensure robust ingest services capable of seamlessly integrating data from distributed sequencing devices, including real-time telemetry streams
- Ensure data is processed to enable optimal access and consumption by digital analysis products, bioinformatics pipelines, and researchers/scientists
Requirements
Essential Knowledge, Skills and Experience:
- Deep experience in building modern data platforms using cloud-based architectures and tools
- Experience delivering data engineering solutions on cloud platforms, preferably Oracle OCI, AWS, or Azure
- Proficient in Python and workflow orchestration tools such as Airflow or Prefect
- Expert in data modeling, ETL, and SQL
- Experience with real-time analytics from telemetry and event-based streaming (e.g., Kafka)
- Experience managing operational data stores with high availability, performance, and scalability
- Expertise in data lakes, lakehouses, Apache Iceberg, and data mesh architectures
- Proven ability to build, deliver, and support modern data platforms at scale
- Strong knowledge of data governance, data quality, and data cataloguing
- Experience with modern database technologies, including Iceberg, NoSQL, and vector databases
- Embraces innovation and works closely with scientists and partners to explore cutting-edge technology
- Knowledge of master data, metadata, and reference data management
- Understanding of Agile practices and sprint-based methodologies
- Active contributor to knowledge sharing and collaboration
Desirable Knowledge, Skills and Experience:
- Familiarity with genomics and associated data standards
- Experience with healthcare clinical data and standards such as OMOP and SNOMED
- Familiarity with containerization tools such as Docker and Kubernetes
- Familiarity with Git and CI/CD workflows
Key Attributes:
- Strong collaborator with excellent communication skills
- Comfortable working in a fast-paced, dynamic environment
- Eagerness to learn and cross-train in new technologies
- Proactive and hands-on approach to exploring new tools and developing proof of concepts (POCs)
Benefits
We offer the following salary and benefits:
- Salary: Competitive salary on offer
- Enhanced holiday pay
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
- Electrical Car Scheme
Why work for EIT:
At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!
Terms of Appointment:
- You must have the right to work permanently in the UK with a willingness to travel as necessary
- You will live in, relocate to, or be within easy commuting distance of Oxford
- During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
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Industries
IT Services and IT Consulting
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Senior Data Engineer - Pathogen employer: Ellison Institute of Technology Oxford
Contact Detail:
Ellison Institute of Technology Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Pathogen
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Oracle OCI, AWS, and Azure. Having hands-on experience or projects that showcase your skills in these platforms can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work in healthcare or genomics. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the industry trends that could benefit your application.
✨Tip Number 3
Demonstrate your understanding of data governance and quality by discussing real-world examples where you've implemented these principles. This will show your commitment to maintaining high standards in data management, which is crucial for the role.
✨Tip Number 4
Prepare to discuss your experience with Agile methodologies and how you've contributed to team projects in a fast-paced environment. Highlighting your collaborative skills and adaptability will resonate well with EIT's culture of innovation and teamwork.
We think you need these skills to ace Senior Data Engineer - Pathogen
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with cloud platforms like Oracle OCI, AWS, or Azure. Emphasise your proficiency in Python and any workflow orchestration tools you've used.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the mission of the Ellison Institute of Technology. Discuss how your skills align with their focus on health and technology, and mention specific projects that demonstrate your expertise in building modern data platforms.
Showcase Relevant Projects: Include examples of past projects where you built scalable data pipelines or worked with real-time analytics. Highlight your experience with data lakes, ETL processes, and any innovative solutions you've implemented.
Highlight Collaboration Skills: Since the role involves working closely with cross-functional teams, emphasise your collaboration and communication skills. Provide examples of how you've successfully worked in team settings to achieve project goals.
How to prepare for a job interview at Ellison Institute of Technology Oxford
✨Showcase Your Cloud Expertise
Make sure to highlight your experience with cloud platforms, especially Oracle OCI, AWS, or Azure. Be prepared to discuss specific projects where you've built modern data platforms and how you tackled challenges related to scalability and performance.
✨Demonstrate Data Governance Knowledge
Since the role involves ensuring data quality and compliance, be ready to talk about your understanding of data governance principles. Share examples of how you've implemented data quality measures and adhered to regulatory requirements in past projects.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, ETL processes, and SQL. Brush up on your knowledge of real-time analytics and streaming technologies like Kafka, as these are crucial for the role. Practice explaining complex concepts in a simple way.
✨Emphasise Collaboration Skills
The position requires working closely with cross-functional teams. Highlight your collaboration experiences, particularly in agile environments. Share instances where you successfully communicated with scientists or product teams to achieve project goals.