Oxford Nanopore Technologies is headquartered at the Oxford Science Park outside Oxford, UK, with satellite offices and a commercial presence in many global locations across the US, APAC and Europe.
Oxford Nanopore employs from multiple subject areas including nanopore science, molecular biology and applications, informatics, engineering, electronics, manufacturing and commercialisation. The management team, led by CEO Dr Gordon Sanghera, has a track record of delivering disruptive technologies to the market.
Oxford Nanopore’s sequencing platform is the only technology that offers real-time analysis, in fully scalable formats from pocket to population scale, that can analyse native DNA or RNA and sequence any length of fragment to achieve short to ultra-long read lengths. Our goal is to enable the analysis of any living thing, by anyone, anywhere!
The details...
We are looking for an experienced Data Engineer to build and maintain data pipelines and related software infrastructure that enable reliable and trustworthy data sources for the company that drive analysis, reporting and machine learning systems.
The successful candidate will join the Data Services team in the Global IT department. The team responsible for providing reliable data sources, data analysis, reporting and building machine learning infrastructure for the business.
The successful candidate will maintain and build critical data software infrastructure that follows sound software engineering principles, and ensure that the company's systems that are running reliably 24/7, and scale as the company grows.
Responsibilities include:
Understanding and extracting data from various source systems; Transformation and loading of data into and within a unified data warehouses/data lakes; Ensuring data systems are operating correctly, ensuring the timely delivery of data; Working closely with data analysts and other software engineers to ensure data is transformed correctly in ETL/ELT pipelines; Building data pipelines to other data driven systems (such as, ML recommendation engines)
What we're looking for...
We'll expect you to have previous experience in data engineering, you'll be comfortable and the ability to communicate effectively with people of different technical backgrounds.
You will enjoy contributing to projects and finding solutions to problems as they arise. You'll have knowledge of good software development practices and ideally experience of data analysis and machine learning techniques.
Required knowledge:
SQL Python Pandas (or equivalent data frame experience) A good understanding of software engineering principles (e.g. test driven methodologies) GIT software version control
Skills and knowledge of the following is also advantageous
Working with AWS infrastructure (e.g. AWS lamba serverless functions) MongoDB Terraform
We offer outstanding benefits to include an attractive bonus, generous pension contributions, private healthcare and an excellent starting salary. Based within beautiful, landscaped surroundings with tree-lined walks, water features and a lake, all of which make for a wonderful working environment.
If you are looking to utilise your skills to really make a difference to humankind, then consider joining our team and apply today!
