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Senior DataOps/Cloud Data Engineer for a large public-sector data modernization initiative, designing and building cloud-based data pipelines and lakehouse solutions using Azure Data Factory, Databricks, Informatica, Python, and SQL.
Design and operate Microsoft Fabric workspaces, Lakehouse architecture, and CI/CD pipelines to deliver trusted dimensional models and Power BI semantic models for auto and property insurance data. Core technologies: Microsoft Fabric, Azure DevOps, SQL, PySpark, Delta Lake, and Power BI.
The Fabric Data Engineer will design and maintain Microsoft Fabric workspace architectures and optimize data pipelines to support insurance analytics. The role involves implementing data governance and quality controls using SQL, PySpark, and Python in a hybrid work environment.
The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo…
The Senior Data Engineer will design and build a new data platform from scratch, focusing on scalable pipelines, ETL processes, and Power BI reporting. The role involves working with SQL Server, .NET scripting, and modern cloud data tools in a hybrid environment.
The Data Engineer will design and build modern data platforms using Databricks, Microsoft Fabric, and Azure. The role involves developing data pipelines with Python, SQL, and Spark/PySpark while working with lakehouse architectures.
The Data Engineer will design and build modern data platforms using Databricks, Microsoft Fabric, and Azure. The role involves developing data pipelines and transformation models while working across various customer environments.
This role involves building and managing large-scale supply chain data ingestion pipelines and transforming data within a Lakehouse architecture using Databricks or Microsoft Fabric. The engineer will collaborate with business stakeholders to create optimized data models for self-service BI.
The Microsoft Fabric Data Engineer will build and maintain the TRACK Data Lakehouse platform by developing scalable data pipelines and integrating enterprise systems. The role focuses on optimizing data models for Power BI reporting and preparing data for AI/ML initiatives using Microsoft Fabric.
The Data Engineer will build and maintain the TRACK Data Lakehouse platform using Microsoft Fabric, focusing on data integration, modeling, and ETL/ELT processes. The role involves ensuring data quality, security, and governance while enabling analytics through Power BI.
The Data Engineer designs and maintains data infrastructure and ETL pipelines to support analytics and omnichannel initiatives. The role utilizes Python, SQL, and Microsoft Fabric to build scalable data solutions for life sciences clients.
PD&MS Group are now looking for an experienced Power BI Developer to join our DS&T Team on a full-time, employee basis. An excellent salary benefits package is available for the successful candidate, full details in…
Lead the design and delivery of end-to-end Microsoft Fabric data solutions (Lakehouse, Warehouse, Pipelines, semantic models) for multiple consulting clients, combining hands-on T-SQL/PySpark/Python engineering with architecture, CI/CD via Azure DevOps/GitHub Actions, and mentoring.
The Lead Microsoft Fabric Data Engineer will design and deliver end-to-end data solutions, including Lakehouse and warehouse architecture, using Microsoft Fabric, Azure, and Power BI. The role involves technical ownership of data pipelines and mentoring junior team members.
The Data Engineer will design, build, and operate cloud-native data platforms on AWS and Azure using Databricks and Microsoft Fabric. The role involves managing the full data lifecycle from ingestion to serving to support real-time analytics and AI initiatives.
Senior Azure Data Engineer to assess, design, and potentially build a modern Microsoft-based lakehouse data platform for a pharmaceutical CDMO, starting with a 6-week discovery phase using Azure Data Factory, Microsoft Fabric, and Databricks.
The Data Engineer will design and implement a Medallion architecture within Microsoft Fabric, developing pipelines for data ingestion and transformation. The role involves modeling data for analytics and processing large-scale datasets using Spark, Python, and SQL to support business decision-making.
Design and build data integration pipelines into EPM/CPM solutions using Microsoft Fabric and Azure Data Stack, ingesting data from SAP, Workday, and other source systems, implementing Lakehouse architectures, and validating data quality in a fully remote role.
Senior software engineer designing, developing, and maintaining web, mobile, AI/ML, and legacy enterprise applications using Java/Spring Boot, Azure AI services (OpenAI, Copilot, LLMs/RAG), and DevOps tooling for a nonprofit student loan guarantor.
This Senior BI Developer role involves designing and implementing modern data solutions using Microsoft Fabric, Power BI, and Azure. The position focuses on building data pipelines and warehouses while integrating AI-driven applications, automation, and agents into client projects.
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