Senior Data Engineer

Location: Hybrid (Oxford / London)
Salary: Market-leading compensation – committed to matching or exceeding market-rate salaries

This is a firm dedicated to applying artificial intelligence to some of humanity’s biggest challenges. From climate change to healthcare, food security to ethical AI use, this is a rare chance to work on mission-driven AI research with some of the brightest minds in the field.

You’ll be joining one of Europe’s best-funded AI research centres, collaborating with top talent—including alumni from Google DeepMind—to build the data infrastructure that powers real-world AI applications.

Why this role?

• Tangible, impact-driven work that tackles real-world issues

• An elite team where you’ll work alongside AI pioneers and industry leaders

• Top compensation – the firm is matching or beating UK-based competitors’ salaries

Your responsibilities

• Building scalable, high-performance data platforms that support AI research and large-scale computation

• Collaborating with AI researchers, data scientists, and software engineers to ensure seamless data integration and infrastructure reliability

• Optimising data pipelines and storage solutions for performance, cost efficiency, and scalability

• Developing tools and systems that enable AI-driven initiatives across sustainability, healthcare, robotics, and more

• Mentoring team members and driving best practices in data engineering

What you bring

• Extensive experience in data engineering, including building and optimising data pipelines and distributed systems using Airflow, Dagster, or Kedro

• Expertise in cloud platforms such as AWS, GCP, or Azure, and data technologies like Spark, Kafka, or Hadoop

• Proficiency in Python, Scala, or Java with the ability to write efficient, scalable code

• Experience working with AI/ML platforms and integrating data systems with machine learning pipelines

• Ability to collaborate cross-functionally in high-performing teams

• Passion for applying AI and data solutions to human-centric challenges

If you’re an experienced data engineer who wants to work on AI for good alongside the brightest minds in the field, apply today.

For information on this and other opportunities in this sector, reach out directly.