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The Senior Data Engineer will design and maintain scalable data platforms using Azure and Microsoft Fabric, focusing on end-to-end pipelines and Lakehouse architecture. The role involves implementing CDC, incremental data loads, and optimizing data performance.
The Data Engineer will design, build, and optimize data pipelines and systems on the Azure platform, including potential migrations to Microsoft Fabric. The role involves acting as a technical bridge between infrastructure and data teams to enhance the company's data platform and cloud security.
About Our Client Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
Microsoft Fabric Data Platform Architect is required by a large organisation to lead the enterprise data strategy and the integration of the company's systems into a unified data ecosystem. You will be responsible for:…
Junior Data Engineer building data ingestion and transformation pipelines using Python and Spark on Oracle Cloud Infrastructure (OCI) for a telecommunications company's Lakehouse platform.
The Senior Data Engineer will design, build, and manage enterprise data pipelines and Lakehouse architectures using Microsoft Fabric. The role focuses on integrating data from ERP, manufacturing, and supply chain systems to support analytics and self-service BI.
This role involves building and productionizing Databricks lakehouse data products within a financial services environment. The engineer will design data pipelines using Spark, Python, and SQL while implementing governance via Unity Catalog across Azure and Google Cloud platforms.
Senior Data Engineer designing and operating QL Group's enterprise Lakehouse platform on Microsoft Fabric, building ETL/ELT pipelines, data ingestion from ERP/supply chain systems, and analytics-ready data assets.
Own the technical pre-sales cycle for Databricks consulting engagements at a data/AI/analytics firm—leading discovery, designing lakehouse architectures, building demos, scoping SOWs, and handing off to delivery teams.
The Lead Data Engineer will design and maintain a cloud-based Finance Data Platform, managing data pipelines, ETL frameworks, and governance for financial datasets. The role involves collaborating with cross-functional teams to support advanced analytics using technologies like Python, SQL, Databricks, and cloud infrastructure.
Data Architect for a global Lloyd's of London insurer, working on an enterprise Databricks Lakehouse platform on Azure, based in Manchester 2 days per week.
AI Software Engineer designing and deploying end-to-end enterprise AI applications using LLMs, RAG, React/TypeScript frontends, Python backends, and Azure cloud infrastructure with full product lifecycle ownership.
Senior Data Engineer building data products with automated pipelines for batch and streaming scenarios using Databricks, Azure, and languages like PySpark/Python.
Data Engineer at Prima AFP (Peru) building scalable data pipelines, managing production deployments, optimizing cloud resources, and implementing automated data quality processes using SQL, ETL, Spark, and Lakehouse architecture.
Build and operate a standardized EMEA FP&A data and planning platform using Microsoft Fabric (lakehouse architecture) and Power Platform (Power Apps, Power Automate) to support finance decision-making across multiple countries and legal entities.
The FP&A Data Platform Engineer will design a scalable Fabric lakehouse and automate payroll and planning inputs using Power Apps and Power Automate. The role involves standardizing data models and collaborating with cross-functional teams to support finance reporting.
As a Senior Data Engineer Consultant, you will design and industrialize data platforms, build ETL/ELT pipelines, and manage large-scale data architectures using cloud technologies like AWS, GCP, or Azure. You will collaborate with data scientists and engineers to ensure data scalability and security while mentoring team members.
Senior Data Engineer building and supporting scalable, enterprise-grade data platforms using Azure and Microsoft Fabric, designing data pipelines, Lakehouse and Data Warehouse solutions, and optimizing performance.
Build scalable data platforms using Azure and Microsoft Fabric, designing end-to-end data pipelines and lakehouse/medallion architectures while optimizing queries and ensuring data quality, security, and reliability.
Technical Solutions Architect designing and optimizing scalable data platforms with Snowflake, Databricks, and lakehouse architectures in a pre-sales/consulting capacity.
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