Data Engineer

Oxford Nanopore Technologies Ltd.; Oxford; On-site; GBP 50,000 - 70,000; Full time

Job summary

A biotech firm in the UK seeks an experienced Data Engineer to design and optimize data pipelines, ensuring high data quality and security. Candidates should have proven skills in Python, SQL, and data frame tools, along with strong communication and problem-solving abilities. This role offers an opportunity to work with innovative technologies in a dynamic environment and contribute to impactful projects.

Qualifications

• Proven experience in data engineering with strong communication skills.
• Problem-solving mindset with a collaborative approach.
• Knowledge of good software development practices; exposure to data analysis or machine learning is a plus.

Responsibilities

• Maintain and evolve data infrastructure 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.

Skills

Python

SQL

Data frame tools (e.g. pandas)

Tools

Tableau

Spotfire

AWS

MongoDB

Job description

Data Engineer About Oxford Nanopore Technologies

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.

The Role

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.

Responsibilities

• 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.

What We’re Looking For

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.

Essential Skills

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

Desirable Skills

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

Why Join Us

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