ACQA is built on Microsoft Azure cloud computing technology. It aims to deliver:
Scalable cost-effective infrastructure, using cloud PaaS components.
Single core platform, open architecture, designed for change, itemised $cost metrics, automated data lineage.
Shared across Front Office, Finance and Risk, improving regulatory compliance.
One-Platform / One-Experience -quick to train, easy to operate, retaining talent.

The ACQA platform is made up of a series of components providing the next generation valuation and risk management services.

Responsibilities
Work with multiple federated teams to enable them to build Big Data solutions
Manage the ACQA Databricks platform – provide monitoring and other tooling
Provide best practices for runtime upgrades Mandatory Skills Description:
Development of big data technologies like Apache Spark and Azure Databricks
Programming complex production systems in Java and Scala




Experience in a platform engineering role on a major cloud provider (ideally Microsoft Azure)
Development and/or operations of CI/CD pipelines using up-to-date cloud-friendly build systems like GitLab
Experience with containerisation in development, build, and runtime environments, including experience with Kubernetes Nice-to-Have Skills Description:
Production experience with Terraform on a major public cloud provider (ideally Microsoft Azure)
Python experience
Testing and instrumentation practices, observability and alerting tooling
Understanding of information modelling, data structures and algorithms
Technical architecture and low-level design
Agile development and planning practices
Ability to collaborate effectively in a large global team and influence key architectural decisions Languages:

English: C1 Advanced

📌 Senior Big Data Engineer Spark/scala/java Banana Shire
🏢 Luxoft
📍 Banana Shire