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Data & AI Engineer designing, building, and industrializing data pipelines and generative AI/RAG solutions on Google Cloud Platform (BigQuery, Dataform) using Python and SQL for an agricultural ingredients company.
Data Engineer building and maintaining petabyte-scale data storage and compute infrastructure (Spark, DuckDB, Trino, ClickHouse), orchestrating batch and real-time jobs, optimizing performance and cost, and handling on-call incident response for Vibe.co's Data Platform team.
We are seeking a hands-on Manager – BI & Analytics to lead the design, development, and delivery of enterprise-scale BI and analytics solutions. The ideal candidate will have deep expertise in Power BI, Tableau,…
Build and optimize Microsoft Fabric-based data pipelines and lakehouse/warehouse architectures for a global travel-rewards business, using PySpark, T-SQL, and AI tools to modernize legacy systems and enable real-time analytics.
The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data…
Senior Solutions Architect designs and oversees a Databricks-based data modernization program for a financial-services client, migrating from SQL Server to a scalable lakehouse platform while aligning architecture with AI and analytics goals.
The Senior Data Engineer designs, builds and supports data pipelines and solutions on UNSW's data platform using Microsoft Azure and Databricks technologies. The role involves data ingestion, transformation, and ensuring systems are reliable and maintainable.
Design and build scalable AWS-based data platforms for corporate and investment banking, focusing on Redshift, Athena, and Iceberg for analytics and reporting.
Principal Data Engineer re-engineers an enterprise Azure Synapse data platform, reverse-engineering pipelines and migrating workloads to Databricks while preserving governance and data quality.
The Data Architect will shape the Allianz Data Platform (ADP) by evaluating, designing and implementing technical platform capabilities, focusing on data storage, modeling, integration, and analytics enablement. They will lead cloud migrations to Azure, provide technical leadership, and advise teams on data architecture using technologies like Databricks and Azure.
Build and maintain scalable data pipelines for CMS, focusing on data ingestion, transformation, and processing across AWS and Databricks environments with Delta Lake lakehouse architectures.
Design, build, and support scalable data solutions on Azure and Databricks using ETL/ELT, dbt, and Spark to deliver reliable data pipelines for the enterprise.
Senior Analytics Engineer at Asana working at the intersection of Data Engineering, Analytics, and Data Science. Owns data foundations for business domains, turning raw data into reliable datasets using tools like dbt, Databricks, Claude, and Genie to create Gold layer data models, semantic layers, and metric dictionaries.
Own and evolve an Azure-based data platform by designing scalable data warehouses and lakehouse solutions while modeling enterprise data to support Power BI reporting and analytics.
Build and scale a Microsoft Fabric/Azure-based enterprise data platform using Python, PySpark, dbt, and Airflow, while enforcing data quality, governance, and clean-code practices.
Senior Databricks Data Engineer building and optimizing streaming and batch pipelines using PySpark, SQL, and Delta Lake on the Lakehouse platform while enforcing data governance.
SENIOR DATA ENGINEER (10 Resources Required) Requisition #: R26-3569 (GOAPRDJP00000982) Location: Remote (within Canada) Engagement Type: Contract Number of Resources required: 10 Rate (CAD): Up to $115.00 per hour /…
Designs and maintains data architecture and BI ecosystem, building scalable, AI-ready data solutions with Snowflake, Azure, Microsoft Fabric, Power BI, dbt, and BigQuery while ensuring governance across airline-related enterprise systems.
Lead Data Engineer to design, develop and optimise data platforms and infrastructure for underwriting, pricing and risk decision-making in motor insurance. Core technologies include SQL, Python, Databricks, Snowflake/PostgreSQL, and data orchestration tools.
Build and productionise Databricks lakehouse data pipelines within a large financial services data transformation programme, bridging Finance stakeholders and engineering teams across Azure and Google Cloud.
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