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Data Engineer, AWS Glue
Data Engineer building AWS Glue-based ETL pipelines to ingest data from heterogeneous sources into Amazon S3 and process it across a medallion lakehouse architecture, using PySpark, Python, and SQL.
Data Engineer
The Data Engineer builds and maintains data pipelines and knowledge repositories to prepare structured and unstructured data for Generative AI and RAG-based solutions. The role ensures data accuracy, governance, and quality across enterprise systems to support reliable AI-driven business decisions.
AI-Ready Data Engineer: Pipelines, RAG & Governance
The Data Engineer will build and maintain data pipelines and knowledge repositories to support AI and RAG applications. The role involves ingesting data from enterprise systems like ERP and CRM while ensuring data quality, governance, and security compliance.
Data Scientist (Data Quality & Pipelines)
Designs and maintains high-quality data pipelines and analytics workflows, ensuring data accuracy, traceability, and observability for business decision-making using Python, SQL, Azure Data Factory, SAP, and M365 integrations.
Data Engineering Lead
Leads data engineering, architecture, analytics, and governance for Barwon Water’s digital transformation, designing scalable, secure data platforms and AI-ready foundations while mentoring teams.
Azure Data Engineering Lead - Enterprise Pipelines (Hybrid)
The Lead Data Engineer will design and deliver scalable data solutions on Microsoft Azure to support analytics and AI initiatives. This hands-on role involves mentoring team members, implementing CI/CD and automation, and collaborating with stakeholders to drive data quality.
Analytics Engineer — AI Data Modeller (Flexible)
The Analytics Engineer will manage the transformation and modelling layer, utilizing dbt to convert raw data into curated models for BI and AI applications. The role involves building end-to-end data pipelines on cloud platforms and implementing DataOps practices to ensure data quality.
Analytics Engineer — Hybrid (Remote Mon & Fri)
The Analytics Engineer will build dependable data models and maintain best practices using SQL, dbt, Python, and GCP. They will collaborate with stakeholders to deliver high-quality, trusted datasets for business decision-making.
Data Engineer Data Engineer (Snowflake, DBT & AWS)
This role involves designing and maintaining scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The engineer will build data models, implement quality controls, and ensure data governance for enterprise-level solutions.
Data Engineer (HCM)
The Data Engineer will design and maintain scalable data pipelines and infrastructure for the LANDCROS Connect Insight platform, focusing on big time-series data. The role involves working with cloud-based data warehouses, ETL/ELT processes, and distributed systems to support advanced analytics.
Senior Data Engineer
The Senior Data Engineer will design, build, and maintain enterprise-scale data pipelines and infrastructure to support analytics and AI initiatives. The role involves managing Kubernetes environments and collaborating with stakeholders to ensure data reliability and security within a healthcare context.
Data Engineer - Azure Databricks
Data Engineer building ETL/ELT pipelines on Azure Databricks using SQL, Python, Scala, or Java, with a focus on data modeling, orchestration, quality, and CI/CD practices.
Senior Data Engineer
Senior Data Engineer designing and building scalable end-to-end data pipelines on AWS using Glue, PySpark, Python, S3, Athena, Redshift, and Airflow.
Multiple Data Engineer
Data Engineers on 12-month contracts designing enterprise-scale ELT/ETL pipelines and Lakehouse architectures using Databricks, PySpark, and Azure for a government environment and climate-focused organisation.
Data Engineer – AWS & Snowflake
This role involves migrating Hadoop-based data workloads to AWS and Snowflake within a banking environment. The engineer will build and maintain scalable data pipelines, implement security controls, and optimize cloud data performance.