Location: Sydney
Duration: Permanent
What We're Looking For
We are looking for a hands‑on engineer who can work across the full data engineering lifecycle — from source ingestion and ETL development through cloud data processing, quality, deployment and production support.
Candidates must demonstrate real project experience with both SAP Data Services/BODS and Google Cloud Platform, rather than exposure to only one of these technology stacks.
Role Overview
We are looking for an experienced Data Engineer with strong hands‑on expertise in SAP Data Services (BODS) and Google Cloud Platform (GCP) to join our Data & Analytics / Platform Engineering team.
The role will focus on designing, developing, testing, deploying and supporting enterprise‑grade data pipelines and datasets across cloud, on‑premise and hybrid environments.
The ideal candidate will combine strong SAP Data Services / ETL engineering experience with practical Google Cloud data engineering skills, including technologies such as BigQuery, Cloud Storage, Dataflow and Cloud Composer.
Key Responsibilities
- Design, develop, test, deploy and support data pipelines and ETL processes using SAP Data Services.
- Build and maintain scalable data integration solutions across SAP and Google Cloud environments.
- Develop data pipelines and datasets on Google Cloud Platform (GCP).
- Work with BigQuery, Cloud Storage, Dataflow, Cloud Composer and other GCP data services.
- Analyse, transform, integrate and curate data from multiple enterprise sources.
- Design and implement data structures for data lakes and data warehouses.
- Develop reusable ETL frameworks and data processing components.
- Perform data profiling, validation and reconciliation to ensure data quality and accuracy.
- Implement data quality controls, monitoring and reporting.
- Support data catalogue, metadata management and data governance activities.
- Troubleshoot data pipeline failures and resolve production issues.
- Implement automation across data engineering, testing and deployment processes using DevOps/DevSecOps practices.
- Collaborate with application, cloud, architecture, governance and business teams.
- Prepare technical documentation covering data pipelines, mappings, dependencies and operational procedures.
- Support Change, Incident and Problem Management processes in a production environment.
- Ensure data pipelines are secure, resilient, scalable and suitable for business-critical workloads.
Must‑Have Skills
- 2+ years hands‑on experience with SAP Data Services / SAP BODS.
- Strong hands‑on experience with Google Cloud Platform (GCP).
- Practical experience with one or more GCP data services such as:
- BigQuery
- Dataflow
- Strong experience in ETL/ELT and data pipeline development.
- Good understanding of data modelling, data warehouses and data lakes.
- Experience integrating data from multiple enterprise systems and sources.
- Understanding of data quality, metadata and data governance.
- Experience with CI/CD, automation and DevOps/DevSecOps practices.
- Strong troubleshooting and production support experience.
- Bachelor's degree in Computer Science, Engineering or equivalent.
Good to Have
- Experience with SAP BusinessObjects.
- Experience with AWS data services.
- Experience with Tableau or other BI/reporting platforms.
- Experience with TIBCO Data Virtualization / TIBCO Spotfire.
- Experience with data orchestration and workflow automation.
- Knowledge of Data Mesh and Data Product concepts.
- Experience working with platform engineering or product operating models.
- Experience in financial services / financial markets.
- Experience working with highly regulated, mission‑critical or enterprise environments.
Technical Skills
Mandatory:
SAP Data Services | SAP BODS | Google Cloud Platform | BigQuery | SQL | ETL/ELT | Data Pipelines | Data Warehousing | Data Lakes