Cloud Data Engineer: Real-Time Banking Pipelines (6-Month)

Whizdom; Sydney; In loco; AUD 96.000 - 152.000; Tempo pieno

Descrizione del lavoro

Whizdom is seeking a Context Engineer for a major enterprise banking program in Sydney. This hands-on role focuses on building scalable cloud data solutions, data pipelines, modelling, governance, and performance optimisations across on-prem and cloud environments.

You will design, build and support batch and near real-time pipelines, implement data quality and security controls, and collaborate with stakeholders to deliver enterprise data capabilities.

Competenze

• Strong experience in Data Engineering, Solution Design or Data Warehousing.
• Advanced SQL and data transformation expertise.
• Hands-on experience with Snowflake, Python, Spark, Azure Data Factory and Databricks.
• Experience across Azure, AWS and/or GCP environments.
• Strong understanding of data modelling, governance and data quality.
• Experience with enterprise databases and cloud data platforms.
• Excellent stakeholder engagement and communication skills.

Mansioni

• Design and develop scalable data pipelines and integration solutions.
• Build ETL/ELT processes using modern cloud technologies.
• Develop and maintain data models, mappings and documentation.
• Implement data quality, governance and security controls.
• Optimise SQL, cloud platforms and data warehouse performance.
• Troubleshoot production issues and support critical data services.
• Collaborate with business and technical stakeholders.
• Mentor team members and promote engineering best practices.

Conoscenze

Data Engineering

Solution Design

Data Warehousing

SQL & Data Transformation

Stakeholder Engagement

Communication Skills

Strumenti

Snowflake

Python

Spark

Azure Data Factory

Databricks

Azure

AWS

GCP

Data Modeling

Data Governance

Data Quality

Descrizione del lavoro

Whizdom is seeking a Context Engineer for a major enterprise banking program in Sydney. This hands-on role focuses on building scalable cloud data solutions, data pipelines, modelling, governance, and performance optimisations across on-prem and cloud environments.

You will design, build and support batch and near real-time pipelines, implement data quality and security controls, and collaborate with stakeholders to deliver enterprise data capabilities.