
Senior Data Engineer
3 weeks ago
Senior Data Engineer role at SS&C Technologies. Location: Melbourne/Sydney/Brisbane, Australia || Hybrid.
Benefits
- Flexibility: Hybrid Work Model
- Your Future: Income Protection Insurance & Salary Continuance
- Work/Life Balance: Generous Bereavement & Compassionate leave
- Your Wellbeing: Private Health Insurance discount, Primary & Secondary Paid Parental leave, Death & TPD Insurance
- Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
- Training: Hands-On, Team-Customized, including SS&C University
- Extra Perks: Discounts on fitness clubs, travel and more
Responsibilities
As part of the Global Investor and Distribution Solutions (GIDS) APAC Data Platform team, you will play a key role to join the team for the design, development, and optimisation of our enterprise data platform. This role is pivotal in shaping our data platform strategy, ensuring scalability, reliability, and performance across our data ecosystem.
- Contribute to the architecture and design of scalable, secure, and high-performance data platforms.
- Responsible for the design and implementation of the Data platform using modern data stack technologies including but not limited to:
- Event-driven and batch data-based 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. DataHub)
- Event-driven and batch data-based data ingestion and pipelines (e.g., Debezium, Kafka, Flink, Spark, Data Lab)
- Collaborate with data architect, principal/lead engineer, analysts, and other engineers to deliver robust data solutions.
- Lead the implementation of automations by using tools like Terraform, CloudFormation, 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 the incident response and root cause analysis for data platform issues.
Qualifications
- Bachelor's degree in computer engineering, Computer Science, Information Systems, or a related field
- 5+ years of experience in a data engineering related role for senior-level candidates
- Strong English communication skills, both written and verbal
- Proficiency in modern data platform engineering
- Hands-on experience with end-to-end data platform engineering design and implementation
- Experience with automation across engineering
- Familiarity with modern data platform technology stack with open source tools preferred
- Experience with GitHub, PR process, CI/CD pipeline, and code/release management
- Proficiency in public and private cloud, AWS, Kubernetes, Docker
- Proficiency in streaming technologies and ETL/ELT data pipelines (e.g. Debezium CDC, Kafka, Flink, Spark, NiFi, etc.)
- Proficiency in database technologies and data lake storage (e.g. MSSQL, Postgres, Iceberg, etc.)
- Proficiency in Data analytics and reporting (e.g. SSRS, Pentaho, Data Lens, Trino, etc.)
- Proficiency in Data Governance by using tools like DataHub
- Proficiency in at least one programming language, preferably Python and Java
- Knowledge of AI/MCP is an advantage but optional
EEO Statement
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Software Development
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