- What Data Engineer Gcp Jobs are in Sydney

Showing 225 Data Engineer Gcp jobs in Sydney

- Sydney, NSW
- 6-Month Contract

Context Engineer | Cloud Data Engineering

- Sydney, NSW
- 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 prospect 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

- Solid 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 prospect.
- 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. 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
Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling. Ensure pipelines are resilient, performant, and cost optimised. Implement monitoring, alerting, and automated recovery processes. Apply data quality checks and reconciliation processes to ensure accuracy and completeness. Maintain metadata, lineage, and documentation to support governance requirements. Adhere to role‑based access control, data privacy, and security standards. Contribute to the development and maintenance of ingestion frameworks,



transformation layers, and data models. Implement and maintain CI/CD pipelines for automated testing and deployment. Optimise data storage and retrieval strategies to meet performance needs. Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit-for-purpose solutions. Participate in code reviews and knowledge‑sharing sessions to improve team capability. Explore and adopt new tools, frameworks, and techniques to enhance engineering capability. Identify opportunities to automate and streamline workflows.

Key Skills & Experience

Proficient in SQL for data wrangling, transformation, and analysis Experience building ETL/ELT pipelines in cloud or distributed environments Familiarity with cloud platforms and services Knowledge of data modeling concepts Experience with data orchestration tools Familiar with version control and CI/CD pipelines Understanding of data quality, validation, and observability practices Works independently with minimal supervision on well‑scoped tasks Collaborates effectively with stakeholders Communicates clearly and documents work for others to maintain or build upon Open to code reviews, feedback, and continuous learning Able to troubleshoot and resolve data pipeline failures or performance issues 2–4 years in a data engineering or closely related role Demonstrated ability to improve code quality, reliability, or performance We’re looking for a Data Engineer to join our Data team in Sydney. Data powers some of the most important decisions at Stake. From understanding customer behaviour and measurin

📌 Data Engineer-Gcp (Sydney)
🏢 XPT Software Australia Pty
📍 Sydney