Location: Sydney, NSW | Duration: 6-Month Contract

A major global consulting firm is seeking a Solution Designer/Engineer to lead the end-to-end design and delivery of complex data solutions for a client in the Australian banking sector. This high-impact role requires thought leadership at the intersection of data engineering, platforms, and project delivery.

If you have a minimum of 7 years of hands-on data project experience, including a strong focus on Big Data and Cloud Data Lake environments, we encourage you to apply.

The Role: Thought Leadership in Data Solutions

This functional role is accountable for the overall end-to-end solution design, covering data extraction from source systems, ingestion, transformation, and creation of reusable data assets ready for consumption.

Key Responsibilities

• Own the End-to-End Solution: Lead and own the entire solution design, working closely with client architects and providing technical leadership to delivery teams.

• Design and Development: Develop, test, and support future-ready batch and near real-time data flows/pipelines.

• Technical Authority: Present solution designs and architecture in large forums, justifying and defending technical decisions to senior stakeholders.

• Innovation: Demonstrate Proof of Concepts (POCs) and working demos for modern data platforms, Big Data, ML/AI, and Cloud technologies (Hadoop, Azure, Python, PySpark).

• Mentorship: Mentor junior consultants within the practice and on delivery engagements.

Experience & Technical Skills (Must-Haves)

• 7+ years experience in the design and engineering of complex data processes and technology solutions.

• 3+ years experience in a large and complex financial services organization, preferably banking.

• Mandatory Big Data & Cloud Expertise: Must have big data platform delivery experience in a Big Data and Cloud Data Lake environment (Hadoop and Azure knowledge required).

• Technical Deep Dive: 3+ years hands-on experience in advanced data transformation, data quality analysis, and using Unix/Linux servers.

• Architecture & Presentation: 3+ years of experience presenting and defending complex solution designs to large forums and senior stakeholders.

Preferred Skills

• Understanding of Data Mesh Architecture and its Domain Data Products.

• Experience in data analysis and data modelling (Entity Relationship Modelling, Dimensional Data Modelling).

• Hands-on experience with the Atlassian toolset: JIRA, Confluence, and BitBucket.

Application

We are looking for candidates with tertiary qualifications in Computer Science, Engineering, or equivalent data/business experience.

At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.