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AI-First Data Engineer: Build Scalable Pipelines
A hands-on Data Engineer role at The GPT Group to design, build and maintain data ingestion pipelines and curated datasets that power the data platform and AI initiatives.
Senior Data Engineer — Azure/Data Platform Leader (Admissions)
Senior Data Engineer at UNSW designing, building, and supporting data pipelines on Azure and Databricks, leading analytics and data integration for the Admissions Transformation Project.
Databricks Data Engineer Senior Analyst
Design, develop, and optimize scalable data pipelines on Azure Databricks using Apache Spark/PySpark, Azure Data Factory, and Delta Lake to support advanced analytics in a banking context.
Lead Data Platform Engineer
Lead the design and build of UNSW College’s enterprise data platform using Microsoft Fabric, Azure, and Power BI to deliver trusted analytics and insights for student and academic outcomes.
Data Engineer
Builds and maintains enterprise-scale data pipelines on Microsoft Azure for Rabobank, ensuring data-driven decision-making across the bank’s agribusiness operations.
Data Engineer: Build Scalable Data Pipelines
Data Engineer responsible for designing and maintaining scalable data pipelines to transform casino source system data into analytics-ready datasets, using Python, Node.js, SQL, and orchestrating ETL workflows.
Data Engineer
A Data Engineer designing, building, and maintaining data ingestion pipelines, databases, and curated datasets for a data platform and AI estate, using technologies like Snowflake, Python, SQL, AI-assisted tooling, and DataOps automation.
Data Engineer
Builds and maintains scalable data pipelines for casino systems, transforming raw transactional data into optimized datasets for analytics and downstream applications using Python, Node.js, SQL, and ETL tools.
Data Scientist
Build and validate analytics models, create data visualizations, and develop ETL pipelines for large-scale datasets to support business decisions.
RFO Strategic Program Manager
Drive Apple’s Pacific online-fulfilment strategy by leading cross-functional programs that improve supply-chain efficiency and customer experience from concept to launch.
Principal Architect
Lead architecture and delivery of AI-native Amazon Connect contact center solutions, building generative AI agents with Bedrock/Claude, orchestration patterns, and full-stack serverless systems while mentoring teams.
Salesforce Developer
A Salesforce Developer administers and customizes the Salesforce platform, building Apex, LWC, and integrations to support D2L’s enterprise learning solutions. They collaborate with business teams to optimize workflows, ensure security, and enhance user experience in a cloud-based edtech environment.
Marketing Principal Systems & Data Analyst (Growth)
Principal Systems & Data Analyst designs and maintains the data foundations for Culture Amp’s growth-marketing stack (HubSpot, Salesforce, Amplitude, Looker) to ensure clean attribution, pipeline measurement, and reporting across the funnel.
Senior Analyst, Customer Success Operations
About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter…
Assistant, Paid Search | Dermstore
Manage and optimize Google Ads and Microsoft Advertising campaigns for a major beauty ecommerce retailer, focusing on Google Search and Shopping to drive sales and ROAS.
Corporate Finance Analyst
About Faropoint Meaningful Relationships. Ownership. Curiosity. Tenacity. Established in 2012, Faropoint is a pure play RE fund manager focusing on the last mile industrial sector. Having acquired more than 500…
Commercial Sales Manager
, a fast-growth entrepreneurial technology company, is seeking ambitious and self-directed individuals with proven outside sales experience to join our team. This is an opportunity to drive our commercial business…
Senior Data Engineer (CAN)
Senior Data Engineer building greenfield ML data infrastructure—lakehouse architecture, training pipelines, feature stores, and pipeline observability—on GCP using Python, Spark, Kafka, and Airflow for a healthtech SaaS platform.