DWH
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Back in the day, when data lived in operational systems and reporting felt…painful, someone had the bright idea of centralizing everything into a single version of truth. Thus, the Data Warehouse was born, promising a utopian vision of informed decision-making. It’s essentially a meticulously curated archive, painstakingly cleansed and modeled for analysis – a lovely concept, really.

The reality? Building one is a bit like rearranging the Titanic’s deck chairs while it’s taking on water. Years of ETL pipelines, dimensional modeling debates, and the constant struggle to keep it aligned with rapidly changing source systems. Now, it coexists with data lakes and data marts, often becoming a costly, complex component in a larger data ecosystem. Still, plenty of enterprises cling to their dwh, mostly because admitting defeat after a decade-long project feels…uncomfortable.

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Jobs in using Data Warehouse for but please no

analyst

BW Analytics Consultant @ ibm

AU | 2025-12-27
This role involves designing and implementing SAP-based analytics solutions, with a differentiator being hands-on experience with SAP BW/4HANA, Datasphere, and SAC, crucial for government clients... read more »
IBM, SAP, Analytics, DWH, Cloud Computing, SQL, Data Modelling, ETL/ELT, Snowflake, Databricks, Power BI, Tableau, GenAI, AI/ML
analytics engineer

Senior Solution Engineer, Public Sector - Sydney @ snowflake-computing

AU | 2025-12-27
Snowflake’s Senior Solution Engineer role reads like a high‑pressure bridge between business and engineering. It promises influence over enterprise deals, but the job is mostly pre‑sales theater:... read more »
Snowflake, Management, Marketing, DWH, ETL/ELT, Analytics, Cloud Computing, Data Lake, SQL, Python, Computer Science, Big Data
promoted

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

data engineer

Senior AWS Data Engineer @ asx

AU | 2025-12-26
This role is a compelling opportunity for a senior data engineer with deep AWS expertise, but it’s a steep climb in a highly competitive field. The position requires a hands-on engineer with... read more »
Agile/Scrum, AWS, API, Data Engineering, Data Management, Analytics, Data Modelling, DWH, Data Streaming, Confluence, Kafka, Airflow, AWS Glue, Iceberg, Athena, Redshift, DataViz, Tableau, Power BI, QuickSight, Python, Spark, Terraform, Terragrunt
data engineer

Senior Data Engineer @ macquariegroup

AU | 2025-12-25
Senior Data Engineer at Macquarie’s Vulnerability Management team designs a greenfield data pipeline in a multi-cloud setting to surface and contextualise critical vulnerabilities across the... read more »
Management, Cloud Computing, Python, DWH, BI, ETL/ELT, Data Modelling, dbt, RDBMS, Redshift, PostgreSQL, SQL Server, SQL, Docker, AWS, CI/CD, Linux, Unix
data engineer

Senior Solutions Architect @ snowflake-computing

AU | 2025-12-24
Snowflake positions this Senior Solutions Architect as a hands-on, customer-facing reactor for deploying its data platform. The role blends data architecture, ETL oversight, security, and... read more »
Snowflake, ETL/ELT, Analytics, DWH, Management, SQL, AWS, Azure, S3, Kinesis, ELK, Data Modelling, Python, Java, Scala, Hadoop, Apache HBase, BI, Tableau
AU | 2025-12-23 | $ 96503 - 108869 / year
The Data Engineer role involves designing and maintaining cloud-based data pipelines in Snowflake, dbt, and Azure to support the Commission's risk-based regulatory functions. A key differentiator... read more »
Analytics, Cloud Computing, Management, Snowflake, dbt, Data Modelling, Data Governance, CI/CD, Azure DevOps, Data Engineering, Azure, DWH, SQL, Python, SQL Server, Oracle, ETL/ELT, Data Quality, Agile/Scrum
promoted

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

data engineer

Senior Data Engineer - 12 months FTC @ tpg-telecom

AU | 2025-12-23
The role involves building data pipelines and processes to support AI initiatives at TPG Telecom, with a focus on creating reusable datasets to ensure a single source of truth; a key... read more »
AI/ML, Analytics, Management, Data Engineering, Cloud Computing, Data Governance, Data Science, ETL/ELT, MLOps, Agile/Scrum, DevOps, Computer Science, SQL, Python, DWH, dimensional modeling, AWS, GCP, Azure, Modern Data Stack, dbt, Databricks, Redshift, Airflow, CI/CD, Git, Java, Terraform
data engineer

Data Engineer - Azure & Databricks @ n2sglobal

AU | 2025-12-23
This position calls for a data engineer skilled in Azure Databricks to build scalable data pipelines with the added twist that integrating diverse data sources like REST APIs and SFTP is a... read more »
Databricks, ETL/ELT, ADF, Spark, API, Cloud Storage, Management, Azure, Data Lake, SQL, Delta, Data Quality, Data Governance, Computer Science, Data Engineering, Python, Synapse, DWH, Big Data, Airflow, Kafka, AI/ML
data engineer

Data Engineer (SSE / Staff Engineer) - Python & Spark & AWS @ n2sglobal

AU | 2025-12-23
A Senior Software Engineer / Staff Data Engineer role focuses on designing and maintaining large-scale data pipelines with expertise in Python, Spark, and AWS. The standout feature is the... read more »
Python, Spark, AWS, Analytics, Data Governance, Data Engineering, ETL/ELT, Data Quality, Big Data, Hadoop, Hive, Kafka, Data Streaming, Cloud Computing, S3, AWS Glue, Redshift, Athena, API, DevOps, CI/CD, Jenkins, Git, Docker, Kubernetes, Management, Agile/Scrum, Scala, Data Modelling, Cyber Security, Data Lake, DWH, AI/ML