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De Data Analytics Engineer adviseert klanten over data-architectuur, optimaliseert data-opslag en -analyse met Azure-tools (Fabric, Synapse), en bouwt schaalbare dashboards met Power BI. Focus op AI/ML voor automatisering en voorspellende inzichten, met kennisdeling en teamcoaching.
De Data Analytics Engineer adviseert klanten over data-architectuur, optimaliseert data-modellen en bouwt schaalbare analytics-oplossingen met AI/ML, terwijl ze brug slaan tussen business en techniek. Core tools: Power BI, Fabric, Synapse, DAX, SQL.
Data Analytics Engineer at ilionx, a Dutch consulting firm, where you design and implement data-driven analytics solutions for clients using Azure stack (Fabric, Synapse, Data Factory, Data Lake), Power BI, DAX, and M-Query, while also coaching colleagues and advising clients on data architecture and standards.
Data Analytics Engineer at ilionx in the Netherlands, designing and implementing data architecture and analytics solutions primarily on Azure (Fabric, Synapse, Data Factory, Data Lake) with Power BI dashboards, while also applying AI/ML.
Designs and builds enterprise data pipelines and models using Azure and Microsoft Fabric to centralize and cleanse data for analytics and business intelligence.
This role involves designing and optimizing scalable data engineering pipelines using Databricks and Apache Spark for a banking client. The engineer will focus on processing structured and unstructured data to support AI/ML and RAG-based analytics workflows.
The Senior Data Engineer will design and develop scalable ETL/ELT pipelines and Lakehouse architectures using Databricks and Azure. The role involves optimizing data flows, implementing data governance, and collaborating with cross-functional teams to deliver data-driven solutions.
The Senior Data Engineer will manage and optimize database systems including MS SQL Server and PostgreSQL, while leading the migration of legacy SSIS pipelines to a modern data lakehouse environment. The role involves designing scalable data solutions, ensuring data governance, and collaborating with business stakeholders to translate requirements into technical data architectures.
Senior Software Engineer builds and scales a cloud-native data platform with AI tools for Omada Health, focusing on data pipelines, governance, and Generative AI integrations.
Lead Data Architect embedded in a business function, designing AWS and Databricks-based data mesh, ML, and GenAI solutions while aligning domain architectures with enterprise standards.
The Data Engineer will build and scale data infrastructure, developing ETL pipelines and managing cloud architecture on AWS to support traffic and road analytics. The role involves end-to-end data lifecycle management, from feasibility studies to production maintenance and CI/CD automation.
The Data Platform Engineer will manage and support Norton Rose Fulbright's enterprise data platform, ensuring stability and security through Azure Databricks, Microsoft Fabric, and CI/CD automation. The role focuses on operational health, incident response, and maintaining governance standards across the firm's data estate.
The Senior Data Engineer will lead the development and optimization of a modern Azure data platform using tools like Databricks, Synapse, and PySpark. The role involves establishing engineering standards, mentoring team members, and building scalable data pipelines to support analytics and AI initiatives.
CSpring is seeking a Senior Azure Data Engineer to design and build scalable data pipelines and enterprise data platforms using Azure technologies like Databricks, Synapse, and Microsoft Fabric. The role involves developing ELT workflows, implementing medallion architectures, and leading cloud migration initiatives.
Designs and oversees scalable, secure data platforms and AI/ML pipelines for government/mission environments using Databricks and Palantir Foundry, ensuring governance, performance, and production readiness.
Lead the architecture and implementation of enterprise-scale AWS Databricks platforms, designing Lakehouse and data warehouse solutions, optimizing data pipelines, and driving AI/BI modernization with technologies like Databricks, AWS S3/Redshift/Lake Formation, Spark/PySpark, Delta Lake, and Unity Catalog.
The Azure Databricks Architect will design and scale an enterprise Lakehouse environment, focusing on performance tuning, cost optimization, and data governance using Unity Catalog. The role involves collaborating with engineering and security teams to build robust, secure data pipelines within the Azure ecosystem.
Design and implement scalable Databricks Lakehouse platforms, architect batch and real-time data pipelines on Azure/AWS/GCP, and lead ETL modernization from Informatica to Databricks using Spark, PySpark, SQL, and Delta Lake.
Designs and implements scalable data platforms using Databricks, Spark, PySpark, and Delta Lake, leading ETL migrations from Informatica to cloud-based solutions.
Designs and builds scalable Databricks-based Lakehouse solutions, migrating legacy systems and optimizing Spark pipelines for analytics and AI/ML workloads.
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