Senior Data Platform Engineer

Job summary

The Senior Data Platform Engineer role is centered on enhancing Mobius, a Kubernetes-native analytics platform that manages data workloads at scale. Responsibilities include designing batch processing capabilities, collaborating with teams to fulfill data needs, and ensuring observability for data workloads. Proficiency in Python, Java, or Scala, along with experience in AWS services and data transformation tools like Spark and DBT, is crucial.

Qualifications

• Strong coding skills (Python/Java/Scala)
• Confidence in working with Kubernetes-native platforms
• Hands-on experience with data transformation tools such as Spark and DBT
• Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue
• Solid grounding in core AWS data and messaging services
• Proficiency in SQL and experience querying large-scale datasets
• Experience orchestrating and scheduling data workflows
• Comfortable establishing monitoring, logging, and alerting

Responsibilities

• Design, build, and continuously improve batch and data processing capabilities on the Mobius platform
• Contribute to the evolution of Mobius platform capabilities
• Partner closely with internal teams to understand their data requirements
• Set up and own observability for data workloads
• Participate actively in code reviews
• Collaborate across Global Intelligence Platforms org and with external teams
• Identify and drive improvements to tooling, processes, and developer experience
• Contribute to team planning and prioritisation

Skills

Relocation