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Senior Data Engineer (AI & Data Platform)
Greenfield Senior Data Engineer building an analytical data platform on cloud infrastructure, designing ELT pipelines with dbt/Postgres, and creating AI data layers including embeddings, vector stores, and RAG plumbing for internal and customer-facing LLM agents.
Senior Database & Analytics Engineer
Senior Database & Analytics Engineer builds and governs trusted, analytics-ready data pipelines using SQL, ETL/ELT, and cloud platforms like Microsoft Fabric/Azure.
Senior Data Engineer - Global Team (India)
Build and maintain large-scale data pipelines using PySpark, SQL, and Databricks to power analytics and AI-ready datasets for investment and enterprise clients.
AI Engineer (m/f/d)
Build and own agentic AI systems for real-estate financial management, including LLM orchestration, evals, and observability to forecast budgets and flag anomalies.
Staff/Senior Staff Web3 Big Data Engineer
Build and optimize OKX’s big-data platform for on-chain analytics, fraud detection, and AI-driven trading tools using Spark, Flink, Kafka, and vector databases.
Senior Data Engineer
Build and deploy secure, scalable cloud data pipelines and warehouses for enterprise clients using Python, SQL, and platforms like Snowflake, AWS, Azure, and Databricks.
Engineering Manager - Machine Learning (AI Products)
The Engineering Manager will lead a team of ML and platform engineers to build and maintain production-grade AI infrastructure for Xero's financial products. The role focuses on team development, MLOps maturity, and balancing technical delivery with system health.
Full Stack Engineer
Full-stack engineer who owns end-to-end product development, bridging business needs with AI-driven implementation. Builds production systems in Python/Django/React/PostgreSQL, evaluates AI outputs, and iterates until measurable outcomes are achieved.
Werksstudent (m/w/d) Datenanalyse, Datenmodellierung, Data Engineering
This student role involves supporting the Data & Analytics team in manufacturing control and S&OP by performing data integration, modeling, and dashboard visualization. The position focuses on automating reporting processes and collaborating with departments to drive data-based decision-making.
Principal Solutions Architect - Data Engineering
Designs and implements large-scale data solutions for global enterprises using cloud platforms like Snowflake, AWS, and Azure, while leading teams and advising clients on modern data engineering practices.
Data Engineer (SC)
A 6-month contract role supporting a major data transformation programme, focusing on data engineering, BI, reporting, and ETL tasks to build expertise in commercial data projects.
Data Engineer Data Warehouse & Analytics (m/w/d)
Builds and maintains the data warehouse and analytics infrastructure for a private health insurer, modeling data with dbt, ensuring quality for claims processes, and enabling self-service reporting.
Data Scientist
Data Scientist at Emergent Labs in Bengaluru turning unstructured AI agent data—trajectories, prompts, logs—into structured signals via ML pipelines, predictive modeling, and product/growth analytics to drive decisions at scale.
Lead Data Engineer – Melbourne - $180,000 - Gain "productionised" AI
Lead hands-on Data Engineer building scalable Azure Databricks lakehouse pipelines and Power BI models to power retail analytics and production-ready AI solutions.
Senior Data Engineer (Contract, Full-Time) [HR208] (PK)
Senior Data Engineer builds scalable data pipelines and infrastructure for an AI-powered property-management platform, including vector databases and real-time analytics to support ML workflows.
Senior Data Engineer - Azure
Senior Data Engineer builds and maintains scalable Azure-based data pipelines using PySpark and Azure Data Factory to power analytics, AI, and real-time decision-making across enterprise systems.
AI Engineer - South Bank, QLD
Designs and deploys production-grade AI systems (classical ML and agentic workflows) for Flight Centre Travel Group’s travel business, focusing on scalable, reliable solutions with Azure ML, Databricks, and Kubernetes.