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Builds and maintains Microsoft Fabric’s data platform (lakehouses, warehouses, pipelines) to ingest, transform, and model data from ERP/CRM/e-commerce sources, enabling analytics, AI assistants, and reporting via Power BI and Fabric IQ.
Designs and maintains Azure-based data pipelines, data lakes, and AI-driven analytics tools to support capital projects and infrastructure decisions.
Builds and maintains data pipelines and SQL/Python logic to clean and prepare trusted datasets for regulatory analytics and reporting in BC’s financial oversight sector.
Builds and maintains scalable data pipelines and warehouses for Marti’s mobility platform, integrating ride-hailing, e-scooter fleets, and IoT systems to enable real-time analytics and decision-making.
Design and build scalable cloud-native data pipelines and analytics-ready solutions using Azure, Databricks, and Python to support organizational decision-making.
Builds data pipelines and models in Redshift/Data Lake, then designs Tableau dashboards for SportSG’s public-sector analytics, leveraging AWS infrastructure.
The Data Engineer – Business Intelligence & Dashboards will be responsible for the following: Stakeholder Engagement: Partner with business units across SportSG to understand data and reporting needs Translate…
Designs and builds secure Azure data pipelines, models, and reports for a government programme, delivering insights from large-scale datasets.
Build and maintain scalable data pipelines on Azure, integrating diverse sources and transforming raw data into reliable, analytics-ready datasets for the business.
Lead the optimisation and evolution of BBC’s data lake and warehouse platforms, designing scalable cloud architectures (AWS CDK/CloudFormation) and CI/CD pipelines (GitHub Actions, Jenkins) while ensuring security and reliability.
Designs, builds, and optimizes data pipelines on Databricks and AWS to power UK healthcare systems, ensuring scalability, security, and compliance with NHS standards.
Develop and maintain ETL/ELT pipelines in Snowflake, manage data lake security and operations, and ensure data governance and performance for analytics.
Lead a team to build and maintain scalable, secure data platforms and pipelines in the cloud, enabling analytics and AI across a financial-services company.
Designs, builds, and operates cloud-native data platforms using Python, Spark, Kafka, and modern cloud tools (GCP/AWS/Azure) while applying software engineering best practices to solve business problems through scalable data pipelines and analytics.
Build and maintain scalable data pipelines and Lakehouse solutions using Databricks and PySpark, ensuring high-performance analytics and governance for enterprise reporting and AI/ML workloads.
Company Description Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across…
Build and maintain cloud-based data pipelines and feature stores to power customer analytics and propensity models for Bupa’s health insurance business.
Builds and maintains ELT pipelines in Snowflake/dbt/Azure to integrate operational, ecommerce, and legacy data into analytics-ready datasets, resolving quality issues and shaping data standards for reporting, AI, and BI tools.
¡Se parte del principal partner de AWS en Latinoamérica y ayuda a las empresas más grandes e innovadoras a acelerar su viaje a la nube! ☁️ Somos un grupo de profesionales talentosos y apasionados en tecnologías en la…
Lead a team building and optimizing SQL Server-based data pipelines and analytics platforms on Azure, focusing on Synapse, Spark, and lakehouse architectures.
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