Software Engineer (Data)

Key Responsibilities:

• Contribute to the design, development and maintenance of data pipelines, integrations and data services using modern engineering practices.
• Participate in agile ceremonies including refinement, estimation, prioritisation and retrospectives.
• Collaborate with cross-functional teams to deliver high-quality data products and services.
• Apply software development lifecycle (SDLC) principles, including build, test, deployment and operational support.
• Implement automation, testing and monitoring throughout the data development lifecycle.
• Ensure your solutions meet security, governance, performance and reliability requirements.
• Support continuous integration and continuous delivery (CI/CD) practices.
• Follow engineering best practice and support the growth of a collaborative technology culture.
• Produce and maintain technical documentation, sharing knowledge and solutions with colleagues.
• Help explore emerging technologies and approaches that improve outcomes for users and the organisation.

As London's Global University, we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We particularly encourage applications from candidates underrepresented in UCL's workforce, including those from Black, Asian and ethnic minority backgrounds, disabled people, and - for Grade 9 and 10 roles - women.

Read more: UCL Equality, Diversity and Inclusion.

Applicants should also familiarise themselves with UCL's policies on: Prevention of Bullying, Harassment and Sexual Misconduct Policy and Personal Relationships Policy.

As a Data Engineer, you will be part of a cross-functional agile team responsible for developing, delivering and supporting data products, platforms and services that enable better decision-making and innovation across UCL. You will work closely with engineers, analysts, architects and business stakeholders to build scalable, secure and reliable data solutions that support teaching, research and professional services.

You will contribute to the design, development and continuous improvement of modern data platforms, data pipelines and integrations, applying engineering best practices throughout the software development lifecycle. Working within an agile environment, you will help drive automation, quality, security and operational excellence while fostering collaboration and knowledge sharing across teams.

This role offers an opportunity to help shape UCL's data capabilities, working with cloud technologies, modern engineering practices and a diverse range of enterprise systems to unlock the value of data and support strategic objectives.

*Please note that this is only open to UCL Employees ONLY*

This roles requires good knowledge of: SQL, Python, Snowflake, Fabric, Git, DBT and ME Dynamics.