Data Engineer

Oxford Nanopore Technologies is a global leader in real‑time DNA and RNA sequencing. Our platform uniquely enables analysis of any fragment length from short to ultra‑long reads in fully scalable formats from pocket to population scale. Our mission is bold: to enable the analysis of any living thing by anyone anywhere.

We are seeking a skilled Data Engineer to design, build and optimize data pipelines that power analytics and decision‑making across the business. You will develop scalable data architectures, integrate multiple data sources and ensure high standards of data quality, security and reliability. This is a chance to work with cutting‑edge technologies in an innovative fast‑paced environment.

• 
  
• Maintain and evolve data infrastructure that supports analysis across a wide range of databases.
  
• Extract transform and load (ETL) data into unified data warehouses/lakes.
  
• Build and optimize data pipelines in collaboration with analysts and stakeholders.
  
• Enable reliable and secure access to business‑critical insights.
  

Proven experience in data engineering and strong communication skills across technical and non‑technical teams.

Problem‑solving mindset with a collaborative approach.

Knowledge of good software development practices; exposure to data analysis or machine learning is a plus.

• 
  
• Python
  
• SQL
  
• Data frame tools (e.g. pandas)
  

• 
  
• Tableau, Spotfire or similar BI tools
  
• Data Lakehouses (e.g. Databricks)
  
• AWS
  
• MongoDB
  

This is an exceptional opportunity to join a fast‑growing organisation, contribute to exciting projects and leverage new technologies that inspire change. If you are eager to learn and ready to make an impact we would love to hear from you.

We are an equal opportunities employer. All applicants will be considered based on their skills, qualifications and ability to perform the role.

Key Skills Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Employment Type: Full‑Time

Experience: 3+ years

Vacancy: 1