Big Data Engineer Graduate (Data Management Suite, Data Integration)

About the role

The Data Management Suite team builds products covering the full lifecycle of data pipelines, from ingestion and integration through development, catalog, security and governance. As a graduate Big Data Engineer, you will build, optimise and scale one of the largest data platforms in the world, working on core systems that affect the company's core products and hundreds of millions of users. The start date is 2027.

Key responsibilities

• Design, develop and optimise the architecture of large-scale data ingestion systems supporting real-time pipelines with high throughput, low latency and fault tolerance.
• Improve the performance, scalability and reliability of data ingestion pipelines.
• Develop automated and intelligent operations and maintenance systems to monitor, diagnose and ensure the stability of pipelines.
• Collaborate with cross-functional teams to deliver event data ingestion, transformation and storage solutions.
• Troubleshoot and resolve complex production issues to minimise downtime.

Required profile

• Completing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering or a related technical discipline.
• Ability to commit to an onboarding date by the end of the year; availability and graduation date should be stated in the resume.
• Candidates can apply to a maximum of two positions; applications are reviewed on a rolling basis.

Required skills

• Software development experience with at least one language such as Java, Scala, Python or Go.
• Strong understanding of data structures, algorithms and distributed systems.
• Hands-on experience with Hadoop, Flink, Kafka or similar big data frameworks.
• Preferred: real-time processing frameworks like Flink, open-source contributions, event tracking experience, data lakehouse knowledge, and strong problem-solving in a fast-paced team.