Data Engineer - Oxford, United Kingdom - Oxford Nanopore Technologies

Tom O´Connor

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Description

Oxford Nanopore's sequencing platform is the only technology that offers real-time analysis (for rapid insights), in fully scalable formats from pocket to population scale, that can analyse native DNA or RNA and sequence any length of fragment to achieveshort to ultra-long read lengths.

Our goal is to enable the analysis of any living thing, by anyone, anywhere. We offer real-time nanopore-based DNA/RNA sequencing technology: accessible, easy to use and fully scalable for any requirement.

The Role


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 Team

The Details...


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, machine learning 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)
  • Terraform


This is a chance to join an innovative, fast-paced organisation with opportunities to utilise new technology and inspire change and will suit someone eager to learn.

This is a phenomenal opportunity to join our exciting and rapidly growing business

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 whichmake for a wonderful working environment.

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