Job Title: Data Engineer – SAP \& Cloud Platforms
Location:
Sydney
Employment Type:
Permanent
Experience:
5+ Years
Role Overview:
We are seeking a skilled and motivated
Data Engineer
to design, develop, and support data pipelines and datasets across cloud, on-premises, and hybrid environments. The ideal candidate will have hands-on experience with SAP Data Services and a strong understanding of data modeling, data quality, and DevSecOps practices. This role is critical to ensuring robust data infrastructure within a high-stakes market environment.
Key Responsibilities:
Design, develop, package, test, support, and operate batch-mode data pipelines using technologies such as:
SAP Data Services
SAP BusinessObjects
Google Cloud Platform (GCP)
Amazon Web Services (AWS)
Tableau
TIBCO Data Virtualization
TIBCO Spotfire
Explore, analyze, enhance, integrate, catalogue, and document datasets and data pipelines.
Develop and maintain data quality standards and metrics.
Support business, governance, and operations teams with data and metadata inquiries.
Implement data processing, storage, automation, and access controls.
Follow Change, Incident, and Problem Management processes, including risk identification and mitigation.
Ensure data pipelines are built to operate within critical market infrastructure environments.
Required Qualifications:
Minimum
2+ years
of hands-on experience with
SAP Data Services
.
Strong knowledge of
data modeling
and structuring data within
data lakes
and
data warehouses
.
Experience in
solution design
and
DevSecOps
practices for automation.
Bachelor’s degree in
Computer Science
,
Engineering
, or a related field.
Preferred Qualifications:
AWS Data Engineer – Associate
certification.
Experience with a variety of data engineering tools across ingestion, curation, storage, orchestration, and analytics.
Familiarity with
Tableau
,
TIBCO Data Virtualization
, and
Spotfire
.
Experience working within a
platform/product operating model
using frameworks and development kits.
Understanding of
data mesh/data product
concepts and federated data ownership.
Prior experience in
financial markets
and related datasets.