Overview
Data Operations Engineer Jobs in Sydney, New South Wales, Australia at Adactin
Title: Data Operations Engineer
Company: Adactin
Location: Sydney, New South Wales, Australia
Adactin Group is a 100% Australian-owned global IT consulting company, headquartered in Sydney. We are a trusted technology partner helping organizations drive end-to-end digital transformation through our deep expertise in Microsoft and AWS ecosystems, AI-powered Digital Engineering, and future-ready Quality Assurance.
Our managed delivery approach, backed by domain expertise, ensures successful outcomes for every project. At Adactin, we believe in the power of our people. We foster a dynamic and supportive environment where your career can grow alongside exciting projects that shape the future of technology. Join us, and be part of a team committed to innovation, excellence, and making a difference
Overview:
We are looking for a skilled Data Ops Engineer (mid to senior level) to support and enhance BAU (Business As Usual) data operations within a fast-paced environment. This role requires strong hands-on expertise in SQL and data integration tools, along with the ability to independently manage data pipelines, troubleshoot complex issues, and drive operational efficiency.
Key Responsibilities:
- Own and manage BAU data operations, including monitoring, troubleshooting, and resolving complex data pipeline issues
- Support, optimise, and enhance ETL workflows and data integration processes
- Write and optimise advanced SQL queries for data validation, analysis, and performance tuning
- Work extensively with Informatica (preferred) and/or SAS for data processing and transformation
- Ensure data quality, integrity, and reliability across systems
- Perform root cause analysis and implement long-term fixes for recurring issues
- Collaborate with cross-functional teams including data, business, and infrastructure stakeholders
- Contribute to process improvements, automation, and operational best practices
Required Skills & Experience:
- Strong hands-on SQL expertise (mandatory)
- Solid experience with Informatica or similar ETL tools
- Exposure to SAS is highly desirable
- Strong understanding of data warehousing, ETL frameworks, and data pipelines
- Proven experience handling BAU support in a production data environment
- Ability to work independently and manage priorities effectively
Nice to Have:
- Experience with Matillion
- Exposure to cloud platforms (AWS, Azure, Snowflake)
- Scripting knowledge (Python, Shell)
Only candidates with valid Australian work rights will be considered.
Please reach out to [email protected] to apply or express interest.
