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
