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Senior Data Engineer Leader - Remote
Lead a team to design and build scalable data platforms using Microsoft Fabric, Databricks, and Azure, enabling enterprise analytics and governance.
Data Architect
Design and lead the transformation of Takealot’s data platform from batch to real-time, setting technical standards and governance for a high-scale ecommerce and logistics ecosystem.
Senior Data Engineer
Build and maintain scalable data pipelines and lakehouse solutions on Azure/Databricks to deliver trusted datasets for analytics and AI workloads while ensuring governance, security, and compliance.
Data/ai architect (databricks)
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases like RAG and LLM integration.
Ai engineer
Design and deploy AI/ML and Generative AI solutions, build RAG pipelines, and maintain scalable data/AI pipelines in cloud environments like Azure/AWS/GCP.
Senior Data Architect (Hybrid) - Deadline 24/08/26
Designs enterprise-scale data architectures, common data models, and governance frameworks while leading API integration and data quality initiatives across systems.
Principal Consultant – AI & Data Science
Lead enterprise-scale AI and data transformation programs, advising C-suite clients on strategy, governance, and cloud-native platforms like Azure, Databricks, and Snowflake to deliver scalable, secure AI solutions.
Senior Microsoft Fabric & Azure Data Engineer - Hybrid (Brisbane)
Designs and implements secure data and cloud solutions using Microsoft Fabric and Azure for client projects, focusing on scalable architectures, Lakehouse patterns, and Power BI models.
Senior Data & AI Engineer — Databricks & Cloud Pipelines
Designs and scales enterprise data solutions on Databricks, builds Spark pipelines, and productionises AI models for live/batch inferencing.
Hybrid Cloud Data Engineer - Databricks & ELT Pipelines
Designs and builds scalable cloud data pipelines using Databricks Lakehouse, Python/Scala/Java, and CI/CD across AWS/Azure/GCP for enterprise analytics.
Senior Solutions Architect - Data Engineering & Lakehouse
Design and implement large-scale data engineering and lakehouse architectures on Databricks, guiding customers through cloud data transformations and BI workloads.
AI Architect - Databricks
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Data Engineering Tech Lead
Lead a team to design and build scalable Azure-based data pipelines using Synapse, Fabric, and PySpark, while mentoring engineers and driving best practices in cloud data engineering.
Technical Lead - Data Engineering
Lead the design and build of a modern Azure-based data platform, owning scalable pipelines, governance, and mentoring engineers to power enterprise analytics and ML.
Senior Data Engineer: AI-Driven Lakehouse & Cloud Pipelines
Design and build scalable data pipelines and lakehouse architectures on Databricks using PySpark/Scala and Delta Lake, ensuring production readiness with CI/CD and monitoring.
Senior Data Engineer
Senior Data Engineer builds and migrates a data platform to Microsoft Fabric, owning ingestion, pipelines, modeling, and Power BI semantic layers for reporting and AI use cases.
Architect, Data and AI Engineering
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Senior Data Engineer (Databricks/Azure) - Hybrid, QLD
Senior Data Engineer builds and optimizes Databricks/Azure pipelines for enterprise clients, focusing on Lakehouse architecture, Delta Lake, and Spark workloads.
Senior Databricks & Azure Data Engineer | Hybrid QLD
Design and optimize large-scale data pipelines using Databricks Lakehouse, Delta Lake, and Spark, with Azure Fabric, Data Factory, and Synapse Analytics.
Senior Data Engineer — Databricks Delivery Leader
Build and deliver Databricks-based lakehouse pipelines and cloud-native data architectures for clients, using Python/Scala/SQL.