Responsibilities

• Write maintainable code with consideration for non-functional requirements
• Champion effective adoption of continuous delivery practices
• Implement solutions with resiliency, scalability and fault tolerance / recovery in mind
• Take ownership of the applications from ideation to operationalisation and maintenance
• Contribute to the effective adoption of continuous delivery practices
• Promote secure development practices and consider the safety of our customer data in all activities

Requirements:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;

• Has Minimum 6+ years in development/software engineering and has extensively knowledge of working in Agile organisations
• Strong Python and SQL skill and good to have Java experience.
• Knowledge of ETL and data warehousing methods, good to have Informatic experience.
• Experience of Google Cloud Platform, e.g. BigQuery, Dataflow, Cloud Function, Vertex AI.
• Good to have experience of building Micro services, preferably with SpringBoot.
• Experience of building production grade ML feature stores, model stores or ML pipelines in GCP.
• Basic understanding of modern DevOps tool set, e.g. Azure Devops, Git.

You will:       

• Continually develop their own capabilities, keeping current with industry trends
• At times operate in ambiguity and determine the best course of action in cooperation with their team
• Desire to learn and contribute in all aspects if software delivery
• Have demonstrated experience, either professional or otherwise, in cloud data engineering
• A drive to deliver incrementally and continuously within an Agile environment