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Data Engineer

Australia💼 Full-time🗓 2026-06-01 → 2026-08-09

Core

Building and maintaining data platforms, ingestion pipelines, and visualization tools to support AI/ML initiatives and executive reporting.

Role type

Mid-level Data Engineer

Builds

Data ingestion pipelines, data warehouses, data lakes, and operational dashboards

Domain

Enterprise data infrastructure and analytics

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Microsoft SQL Server, Python, ETL/ELT pipeline design, ClickHouse, OpenSearch, Rundeck, Airbyte, Power BI, Grafana, Linux/Windows server administration

Preferred skills

MLOps frameworks, vector databases, embeddings, semantic search systems

Technologies

Microsoft SQL Server, ClickHouse, OpenSearch, Rundeck, Airbyte, Power BI, Grafana, SSRS

Responsibilities

Develop and maintain ETL/ELT pipelines for operational and analytical systems; Optimise SQL queries and database performance; Design data ingestion frameworks for structured, semi-structured, and streaming data; Develop data pipelines and feature engineering workflows to support AI and machine learning initiatives; Design, develop, and maintain operational dashboards and executive reporting suites; Ensure high-level security and data partitioning for relevant users

Seniority

Mid-level, hands-on IC

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