Senior Data Engineer

2 weeks ago

Melbourne, Victoria, Australia SS&C Technologies Full time
Overview Senior Data Engineer role at SS&C Technologies.
Location: Melbourne/Sydney/Brisbane, Australia || Hybrid.
SS&C GIDS provides information processing and software services across financial markets, customer management, professional services, and output solutions.
Why You Will Love It Here Flexibility: Hybrid Work Model Your Future: Income Protection Insurance & Salary Continuance Work/Life Balance: Generous Bereavement & Compassionate leave Your Wellbeing: Private Health Insurance discount, Parental leave, Death & TPD Insurance Diversity & Inclusion: Committed to welcoming and thriving on diversity Training: Hands-On, Team-Customized, SS&C University Extra Perks: Discounts on fitness clubs, travel and more What You Will Do As part of the Global Investor and Distribution Solutions (GIDS) APAC Data Platform team, you will contribute to the design, development, and optimisation of our enterprise data platform.
You will help shape our data platform strategy to ensure scalability, reliability, and performance across the data ecosystem.
Contribute to the architecture and design of scalable, secure, and high-performance data platforms.
Design and implement the data platform using modern data stack technologies, including but not limited to: Event-driven and batch data ingestion and pipelines (e.g., Debezium, Kafka, Flink, Spark, Data Lab)Data visualisation & reporting (e.g., SSRS, Pentaho, Data Lens)Data governance (e.g., Data Hub)Collaborate with the data architect, principal/lead engineers, analysts, and other engineers to deliver robust data solutions.
Lead the implementation of automations using Terraform, Cloud Formation, and CI/CD pipelines.
Ensure data platform reliability, performance, and security.
Mentor and guide junior engineers and contribute to a culture of technical excellence.
Evaluate and integrate emerging technologies to enhance platform capabilities.
Responsible for incident response and root cause analysis for data platform issues.
Qualifications Bachelor's degree in computer engineering, Computer Science, Information Systems, or a related field5+ years of experience in a data engineering role for senior-level candidates Strong English communication skills, both written and verbal Proficiency in modern data platform engineering and end-to-end data platform design and implementation Experience with automation across engineering Familiarity with open-source data stack tools Experience with Git Hub, PR processes, CI/CD pipelines, and code/release management Proficiency in cloud (AWS), Kubernetes, Docker Proficiency in streaming technologies and ETL/ELT data pipelines (e.g., Debezium, Kafka, Flink, Spark, Ni Fi)Proficiency in database technologies and data lake storage (e.g., MSSQL, Postgres, Iceberg)Proficiency in data analytics and reporting tools (e.g., SSRS, Pentaho, Data Lens, Trino)Proficiency in Data Governance tools (e.g., Data Hub)Programming knowledge in at least one language (preferably Python and Java)Knowledge of AI/MCP is optional Employment Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Software Development Equal Employment Opportunity: SS&C Technologies is an equal opportunity employer.
We do not discriminate on race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status, or any other protected status.
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