Data Engineer

Whizdom; Sydney; Vor Ort; AUD 112.000 - 179.000; Vollzeit

Zusammenfassung

Whizdom is partnering with a leading consulting organisation to hire an experienced Context Engineer for a major banking program in Australia. This hands-on role focuses on building scalable cloud data solutions, data integration and governance across cloud and on-prem environments.

You will design, develop and optimise batch and near real-time data pipelines using Snowflake, Python, Spark, and Azure Data Factory, collaborating with stakeholders to deliver enterprise-scale data platforms with

Qualifikationen

• Design, build and support enterprise data solutions across cloud and on-prem environments.
• Deliver batch and near real-time pipelines, data integration, modelling and governance.
• Implement data quality, governance and security controls.

Aufgaben

• 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.

Kenntnisse

Data engineering

SQL proficiency

Data transformation

Snowflake

Python

Spark

Azure Data Factory

Databricks

Cloud platforms

Data modelling

Data governance

Data quality

Stakeholder engagement

Troubleshooting

Tools

Azure/AWS/GCP environments

Enterprise data platforms

Jobbeschreibung

• Sydney or Melbourne
• 6-Month Contract

We're partnering with a leading consulting organisation to engage an experienced Context Engineer for a major banking program. This is a hands-on opportunity for a strong data engineering professional who enjoys building scalable cloud data solutions and working on complex enterprise platforms.

Context Engineer | Cloud Data Engineering

• Sydney or Melbourne
• 6-Month Contract

We're partnering with a leading consulting organisation to engage an experienced Context Engineer for a major banking program. This is a hands-on opportunity for a strong data engineering professional who enjoys building scalable cloud data solutions and working on complex enterprise platforms.

About the Role

You’ll design, build and support enterprise data solutions across cloud and on-premises environments, delivering batch and near real-time pipelines, data integration, modelling, governance and performance optimisation.

Key Responsibilities

• 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.

Skills & Experience

• 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.

Highly regarded

• Apache Flink, Redis or real-time streaming technologies.
• Teradata, Oracle or SQL Server.
• Banking, risk, fraud, AML/KYC or other regulated industry experience.

What’s on Offer?

• Initial 6-month contract.
• Sydney-based opportunity.
• Enterprise-scale banking transformation program.
• Modern cloud and data engineering environment.
• Collaborative, high-performing team.

If you're an experienced Data Engineer with strong cloud, SQL and Snowflake expertise, we'd love to hear from you.

Katrina Gabriel | 0489 923 *** | ***email_hidden***

Candidates will need to be willing to undergo pre-employment screening checks, which may include identity and work-rights verification, security clearance verification and any other client-requested checks.