Adactin Group is a 100% Australian-owned global IT consulting company, headquartered in Sydney.
We are a trusted technology partner helping organisations 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
The Senior Data Engineer is responsible for the design, development, and optimisation of data pipelines, transformations, and platform components within cloud-based data ecosystem.
This role combines hands-on delivery with technical leadership across projects, enabling scalable and reusable data assets that support analytics, insights, and operational use cases.
As a senior member of the Data Platform Engineering team, the role contributes to the standardisation of engineering practices, mentors junior engineers, and proactively collaborates with Solution Designers, DevOps, and Data Ops to ensure quality, performance, and operational readiness.
KEY RESPONSIBILITIES: The "WHAT" to be delivered and outcomes to be achieved
Develop and maintain reliable, performant, and reusable data pipelines usingAWS (e.g. Glue, Lambda) and Snowflake
Translate solution designs and modelling specifications into technical implementation with minimal supervision
Contribute to design discussions and code reviews, helping uplift engineering quality and consistency
Embed logging, error handling, and observability features into all pipeline work
Apply CI/CD practices and collaborate with DevOps to automate build, test, and deployment processes




Support solution scalability by building with reusability and modularisation in mind
Mentor junior Data Engineers, contributing to technical documentation and team knowledge sharing
Collaborate with Data Engineers, contributing to technical documentation and team knowledge sharing
Collaborate with Data Ops on tuning, deployment readiness, and continuous improvement actions
Liaise with Solution Designers and Performance Monitoring & Insights to ensure data is for downstream consumption
Reports to the Manager, Data Platform Engineering
Works under the technical guidance of the Lead Data Engineer
Collaborates closely with:Solution Designers and Data Modellers to ensure solution alignment
DevOps Engineer for CI/CD implementation and release readiness
Data Ops to support deployment, troubleshooting, and performance improvements
Senior Test Engineers or embedded testing function to support test-drive deployment
Acts as a liaison between technical teams and enterprise delivery/program stakeholders
Qualification & Skills Experience
Bachelor's degree in Computer Science, Software Engineering, Data Engineering or related field
Strong SQL and Python skills
Solid understanding of data pipeline orchestration, transformation logic, and cloud-native tools (Snowflake, AWS Glue, Lambda, S3)
Familiarity with CI/CD practices and code versioning
Minimum 5+ years in data engineering or related development roles
Proven experience building end-to-end data pipelines and transformations in cloud platforms
Demonstrated ability to lead delivery across individual initiatives or workstreams
Snowflake and /or AWS certifications
Familiarity with data quality frameworks and automated testing tools (e.g. dbt, Excellent Expectations)
Experience contributing to modularised, shared pipeline frameworks
Experience working in public sector, insurance, or highly regulated environments
Exposure to modern analytics workflows (e.g. real-time, streaming, ML features)
Participation in Agile delivery teams and cross-functional projects
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📌 Senior Data Engineer (Aws, Snowflake) (New South Wales)
🏢 Adactin
📍 New South Wales