- 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 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.
- Solid 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. 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 measuring product impact to improving operational efficiency and uncovering new opportunities, our data platform helps teams move with confidence. As a Data Engineer, you’ll build the foundations that help Stake scale. You’ll create trusted, accessible and high‑quality data systems that empower teams across the business to make better decisions, faster. Working closely with engineers, product managers, analysts and stakeholders, you’ll solve complex problems, improve critical systems and create leverage for others. You’ll play a key role in shaping the future of our data platform while contributing to products and experiences used by hundreds of thousands of customers. We work in a hybrid model, spending 4 days a week in our beautiful, dog‑friendly Sydney office.

About this role

Data powers some of the most important decisions at Stake. From understanding customer behaviour and measuring product impact to improving operational efficiency and uncovering new opportunities, our data platform helps teams move with confidence. As a Data Engineer, you’ll build the foundations that help Stake scale. You’ll create trusted, accessible and high‑quality data systems that empower teams across the business to make better decisions, faster. Working closely with engineers, product managers, analysts and stakeholders, you’ll solve complex problems, improve critical systems and create leverage for others. You’ll play a key role in shaping the future of our data platform while contributing to products and experiences used by hundreds of thousands of customers. We work in a hybrid model, spending 4 days a week in our beautiful, dog‑friendly Sydney office.

What success looks like

Within your first year, you’ll have:

- Built and evolved reliable, scalable data pipelines that become foundational to how Stake operates and makes decisions
- Increased trust in data across the business by improving quality, observability, governance and documentation
- Enabled product, operations and commercial teams to move faster through self‑service data capabilities and thoughtfully designed datasets
- Partnered closely with engineers and analysts to define and implement scalable data models that support critical business outcomes
- Improved the performance, efficiency and maintainability of our data platform as customer and data volumes continue to grow
- Helped establish best practices for data engineering, modelling, testing and platform reliability
- Influenced how Stake measures success by creating robust datasets and metrics that inform strategic decision‑making
- Become a trusted technical partner across the business, known for solving complex problems with clarity, pragmatism and impact

You’ll thrive here if…

- You have strong experience building and maintaining modern data platforms, pipelines and data products in production environments
- You care deeply about data quality, reliability and creating systems other teams can depend on
- You’re comfortable working across the data stack, from ingestion and transformation through to modelling and consumption
- You combine strong technical judgement with a practical mindset, balancing long‑term platform health with business needs
- You communicate clearly, simplify complexity and enjoy partnering with people across technical and non‑technical teams
- You take ownership,



move with urgency and enjoy solving problems that have meaningful customer and business impact

Technical skills

- Experience with modern data technologies on Google Cloud Platform (GCP), including BigQuery, Cloud Storage and Dataflow
- Strong proficiency in SQL and data manipulation
- Working knowledge of Python or another programming language
- Experience with data warehousing and data modelling concepts
- Understanding of data governance principles and best practices
- Experience with reporting and visualisation tools, preferably Metabase
- A desire to stay up to date with developments across GCP and emerging technologies, including AI
- Working knowledge of Docker and Kubernetes is ideal, but not essential

Bonus if you’ve…

- Worked in fintech, financial services or another highly regulated industry
- Built data platforms supporting product analytics, experimentation or customer‑facing products
- Worked with modern cloud data platforms such as BigQuery
- Contributed to data governance, lineage or observability initiatives at scale
- Helped establish engineering standards, tooling or platform capabilities for growing teams

Benefits of working at Stake

At Stake, you’ll have the autonomy to make an impact while learning from some of the best people in the industry. You’ll play a meaningful role in building a company with strong momentum, ambitious goals and plenty of opportunities to grow.

Along the way, you’ll also enjoy a range of benefits through our Grow with Stakeprogramme, including:

- Professional development allowance
- Up to 16 weeks of paid parental leave
- Childcare allowance
- Wellbeing support
- Annual leave swap days
- Discretionary performance bonus
- Stake products, including a 30% discount on an annual self‑managed super fund (SMSF) membership, a $295 annual trading credit and a Stake Black account

So what happens next?

Once we’ve received your application, we’ll give it the attention it deserves. If we think you could be a great addition to the team, we’ll reach out to arrange an initial conversation and guide you through the recruitment process from there.

To all recruitment agencies: Stake does not accept agency resumes. Please do not forward resumes to our jobs alias or directly to Stake employees. Stake is not responsible for any fees related to unsolicited resumes.

Strong GCP Data Services Expertise - Hands‑on experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Ability to design scalable data solutions using native GCP tools.

Experience in Data Pipeline Development (Batch & Streaming) - Building and maintaining ETL/ELT pipelines, Experience with real‑time streaming and batch processing.

Strong Programming & Query Skills - Proficiency in Python and SQL, Experience with data processing frameworks like Apache Beam or Spark

Understanding of Data Modeling & Warehousing - Strong understanding of data modeling (star/snowflake schemas), Experience designing and optimizing data warehouses (BigQuery)

Nice to Have Skills:

Experience in Multi‑Cloud Exposure : Understanding of cross‑cloud data integration and migration, Experience working with AWS or Azure alongside GCP

Knowledge of Streaming & Messaging Frameworks : Experience with Kafka or advanced Pub/Sub patterns, Knowledge of real‑time data architectures

Basic Understanding of Containerization & Orchestration : Hands‑on with Docker and Kubernetes (GKE), Ability to deploy and manage data workloads in containerized environments

Data Governance & Security : Familiarity with data lineage, cataloging, and governance tools, Understanding of IAM roles, data security, and compliance in GCP.

At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together.

We are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow.

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