Role: Data Engineer (DBT Snowflake)

Location: Sydney

Permanent (Fulltime)

- Be the team’s “Bar Raiser”. Mentor and inspire other engineers across the business.
- Lead our Data Engineering strategy implementation, in partnership with the Head of Data Engineering.
- Lead the design and implementation of a high-performing data engineering platform.
- Lead the hands-on data ingestion and transformation pipeline build, patterns and practices to deliver a single source of truth platform of reusable data products.
- Contribute to our data product roadmap.
- Contribute to and implement data engineering continuous improvement opportunities and best practices, and team-wide ways-of-working.
- Lead technical collaborations with the other engineering and IT teams to ensure the delivery of reusable data products to the business.
- Support the infrastructure teams to ensure end-to-end delivery of data engineering services.
- Support business as usual (BAU) data products and platforms to ensure security, operationalisation, availability, reliability, and maintainability.
- Support the Governance & Risk teams to ensure we are effectively managing the risk of our data products.
- Partner closely with peers and stakeholders: Data Engineers, ML Engineers, Data Scientists, Analysts, Business Partners, Platform/DevOps Engineers, Project Managers/Scrum Masters,



Testers and other business stakeholders as required.
- Support the overall Data & Analytics Centre of Excellence strategy and its execution.
- Collaborate to create outstanding people experiences for the data and analytics teams.

What we are looking for

- University degree in a quantitative discipline, such as computer science, engineering, IT, or math, or equivalent experience.
- At least 7 years of hands-on data engineering experience.
- Advanced SQL and Python knowledge.
- Hands-on ETL/ELT platforms and dimension modelling experience (e.g. Data Lakes, Data Warehousing, Star Schema, Change Data Capture, Orchestration, PII protection).
- Experience with one or more of the major cloud providers (e.g. AWS, GCP, Azure).
- Ideal, but not required: Contemporary data stack experience (e.g. dbt, Snowflake/Databricks, Airflow, Fivetran/Airbyte).
- Ideal, but not required: Software engineering, MLOps, DevOps experience (e.g. CICD, Source Control, Java, Terraform).
- A “solutions mindset” of natural curiosity and a strong motivation to solve problems, no matter how complicated or ambiguous they might be.

Interested Candidates can share their updated resumes on [email protected] or can reach me on 61 251 103 879.

📌 Data Engineer (DBT + Snowflake) (Sydney)
🏢 CareCone Group
📍 Sydney