As a Data Operations Engineer working as part of our collaborative and talented Data Engineering team, you will work on designing, developing and maintain data infrastructure and systems. With a strong understanding of data modelling, data warehousing and ETL processes, you will work cross functionally with the wider team to identify data needs and implement solutions.

This is a hybrid working opportunity from our Cambridge office.

Role responsibilities 

How will you make an impact?

• Manage multiple data load pipelines to ensure they are operational.
• Modify existing ETL processes to automate where possible.
• Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to data workflows.
• Identify, design, and implement internal process improvements (e.g., automation, data optimization, etc.).
• Run frequent audits, operationalize data quality monitoring, and resolve issues. Help operationalize and automate future data loads, reporting, and analytics jobs.
• Research new data sources and perform data source analysis.
• Plan resources necessary for data operations in collaboration with internal teams.
• Provide data engineering support for various projects based on business needs.

Do you have what we are looking for?

• Minimum 1 year of data engineering experience.
• BSc in Computer Science, Engineering, or a related quantitative field.
• Experience with processing pipeline framework (e.g., Airflow, Kedro, Luigi, Argo) required.
• Skill programming Python 3.9 or later.
• Basic knowledge of version control systems, such as Git.
• Basic knowledge of cloud data processing and compute services (e.g., EC2, S3 in AWS, Azure or GCP).
• Skill using SQL with both relational and NoSQL databases.
• Experience with data processing libraries such as Pandas, NumPy or Dask, and big data technologies such as Apache Spark, is preferred.

Magic happens when people care deeply about what they do!

We're on a mission to use Artificial Intelligence to transform healthcare as we know it.

We're pioneers. Everyone here is passionate about their impact on our products and teams and ultimately, the world. This is how we became leaders in what we do.

If you're looking for fascinating and complex projects and can thrive on change, you've found the right place.

Join us in bringing AI to life. Do you have the experience highlighted above? If so, we would love to hear from you!