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The Senior Data Engineer will design and optimize scalable data pipelines using Azure Databricks, Apache Spark, and Azure Data Factory. The role focuses on building data solutions for the financial sector while ensuring strict adherence to data governance and security standards.
The Senior Data Engineer will design, build, and maintain scalable enterprise data pipelines and cloud-based data platforms using PySpark, Python, SQL, and Azure Data Factory. This role involves integrating complex business systems and partnering with data scientists to operationalize machine learning models and AI initiatives.
This Senior Data Engineer role involves building scalable data pipelines and lakehouse solutions within the Microsoft Azure and Fabric ecosystem to support generative AI and agent-based applications. The position is an initial three-month contract with the potential to transition into a permanent role.
Lead the design and implementation of Azure-based data platforms for Rabobank Australia, enabling scalable analytics and data-driven decisions.
The Senior Data Engineer will design and optimize scalable data pipelines using Azure Data Factory, Databricks, and Spark. The role focuses on delivering clean datasets for analytics while ensuring compliance with financial services data governance and security standards.
Designs and executes test automation strategies for a large-scale modernization program using Azure, .NET, and React, developing frameworks, integrating testing into CI/CD pipelines, and driving quality engineering best practices across teams.
Define and drive test automation strategy for a large-scale Azure/.NET/React modernization program, developing frameworks and integrating tests into CI/CD pipelines.
The Data Engineer will design and develop data solutions using Azure services, including data ingestion, processing, and storage pipelines. The role involves collaborating with stakeholders to ensure data quality and security while utilizing tools like Python, SQL, and various big data technologies.
Data Engineer (Remote) This is a remote position. Our national client is seeking an experienced Data Engineer to join the team: Design and develop data solutions using Azure services, such as Azure Data Factory, Azure…
Senior Data Engineer designing and building scalable data platforms and ETL/ELT pipelines on the Microsoft Azure estate, primarily Microsoft Fabric, Data Factory, Databricks, and Synapse, using T-SQL, Python, and Spark.
Data Engineer building and maintaining Azure data platforms using Microsoft Fabric, Databricks, ADLS Gen2, and Synapse Analytics, with strong ETL/ELT design and data modelling responsibilities.
This role involves developing and maintaining data engineering processes within the Microsoft Fabric and Azure ecosystem. The engineer will design data pipelines, manage PySpark notebooks, ensure data quality and security, and implement CI/CD automation.
$140K-$160K Base Bonus | 100% Remote | Full-Time Have you led a Data Engineering, Analytics, or Data Warehouse team while working hands-on with Snowflake, Azure Data Factory, SQL Server, and Power BI? Prominent is…
Shift Technology is hiring a mid-level QA Engineer for a 4-month contract to perform end-to-end testing on their insurance-focused AI SaaS platform. The role involves designing test strategies, executing UI and API tests, and collaborating with Agile teams to ensure high-quality product releases.
The Data Engineer will develop and optimize data layer components, including databases, ETL packages, and SQL queries, to support tax technology solutions. The role requires expertise in Azure data platforms, SQL Server, and data modeling to integrate complex data for global tax services.
Senior Data Engineer This is a great time to join our Data & Digital team as we continue to grow our data engineering capability across complex and impactful client environments. You'll have the opportunity to…
The Data Engineer will design, develop, and maintain ETL/ELT pipelines on Microsoft Azure using tools like Azure Data Factory and Databricks. The role involves optimizing SQL performance, implementing CI/CD pipelines, and coordinating with vendors to ensure data platform reliability.
Designs and maintains Azure-based ETL/ELT pipelines using Data Factory, Databricks, and SQL, while optimizing queries and collaborating on data quality.
Senior data engineering leader building enterprise data pipelines and analytics platforms using the Microsoft Fabric/Azure stack (Synapse, Data Factory, SQL, Python, PySpark) to drive digital transformation for a large agro-food corporation.
Azure Data Architect designing and implementing secure, scalable cloud-native data processing systems, collaborating with Data Science and Engineering to enable advanced analytics and AI models using the Azure data stack.
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