Consultant Specialist

We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. As a Consultant Specialist, you will be part of a pod of Data Engineers that supports multiple GCP development projects.

Principal responsibilities include:

• Collaborating with GCP delivery teams to challenge and refine solution designs, ensuring DevOps best practices are followed.
• Playing a key role in the delivery of a large-scale IT project, preferably delivered following an Agile approach.
• Translating business requirements into solid, robust technical designs that can withstand scrutiny by various teams involved in governance processes.
• Designing solutions that are readily maintainable, easy to extend, and allow for future requirements to be easily implemented.
• Implementing large cloud implementations/migrations, preferably on GCP.
• Working with cloud architecture solutions that maximise the use of PaaS offerings.
• Understanding the concept of immutable infrastructure and ideally having experience on at least one project.
• Understanding 'infrastructure-as-code' and 'configuration-as-code'.
• Developing data pipelines/APIs using Python, SQL, BigQuery, Cloud SQL, Bigtable, etc.
• Building large-scale batch and real-time data pipelines with data processing frameworks in GCP.
• Using Terraform to design reusable code and write custom Terraform modules.
• Writing Jenkins pipelines and developing jobs that can be reused across delivery teams.
• Managing cloud infrastructure environments, including admin, users, IAM, and service accounts.
• Working in a test-driven development (TDD) approach.
• Understanding effective secrets management.

Requirements include:

• Commercial orientation, customer drive, business development, analytical reasoning, management planning, decisiveness, leadership, teamwork, building and managing relationships, communication, drive and resilience, change orientation, technical knowledge, etc.
• Skilled at generating actionable insights from data.
• Developing, iterating, and productionising complex data models.
• Fluency in English.

Useful skills and knowledge include:

• Scala, Spark, Elastic Search, Google Cloud Platform – DataProc, BigQuery, IAM, K8s.
• Experience with any SNA system, such as SAS Fraud Framework, Palantir, Wynyard, Detica Netreveal, digital reasoning, Novetta.
• Java, Python, AI, JavaScript.
• Financial crime detection or other related bank business knowledge.