Location: Sydney (Hybrid/On-site)
Rate: Excellent Daily Rate
Industry: Reputed Banking & Financial Services
As a Data Engineer, you will be a key contributor to the design and development of high-performance data pipelines and platform features. This role sits at the heart of our transformational data initiatives, where you will apply advanced problem-solving skills to build practical, well-structured solutions that underpin the bank's future data capabilities.
Key Responsibilities
Feed Configuration: Design and write complex configurations for diverse data feeds, ensuring seamless integration and data consistency across the platform.
Pipeline Engineering: Build and maintain scalable, reliable data pipelines using Python, SQL, and dbt.
Cloud Architecture: Develop and optimize data solutions within AWS, specifically leveraging Amazon Redshift.
Stakeholder Alignment: Work directly with business and operational stakeholders to translate complex requirements into structured technical solutions.
Programming & SQL: Strong, hands-on Python expertise for medium-to-complex applications, paired with advanced SQL for complex querying and database structuring.
Cloud & Warehousing: Proven experience in AWS environments, specifically working with Amazon Redshift and Linux/Unix systems.
Modern Data Tooling: Proficiency with dbt for data transformation and containerization (Docker/Kubernetes).
Orchestration: Experience with pipeline tools such as Airflow or Argo Workflows.
Big Data & Integration: Familiarity with APIs and big data technologies (Spark, Hive, or Presto).
Security & CI/CD: A solid understanding of security best practices and version control using Bitbucket.
Banking Background: Previous experience in a banking or highly regulated financial environment is highly preferred.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
