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Job Description At Munro Footwear Group (MFG), we're looking for an experienced Senior Data Engineer to help shape the future of our enterprise data platform. Reporting to the Head of Engineering , you'll play…
¡En Ayesa Digital crecemos Contigo! Cada profesional de nuestra empresa es importante para nosotros, nos ayudan a crecer de manera diversa y gracias a ellos somos más de 11.000 personas trabajando con el mismo objetivo…
Hands-on Senior Data Architect leading large-scale migration of legacy data warehouses to a Databricks lakehouse on AWS for clinical and non-clinical data, combining 70% coding/building with 30% strategy at Eli Lilly in Bangalore.
This role is a 12-month fixed-term contract focused on designing and delivering end-to-end data pipelines, data models, and storage architectures for government projects. The engineer will build infrastructure for data quality and governance while contributing to broader platform architecture and AI-ready system design.
Design and build a Databricks lakehouse to modernize legacy clinical and non-clinical data platforms, writing PySpark pipelines and setting governance standards for AI-ready, audit-compliant data products.
Design and build scalable Azure data pipelines using Data Factory and Databricks, provisioning data from on-prem and external sources into a Lakehouse architecture for a global diagnostics company.
Build and operate data pipelines and modern data platforms (Lakehouse, Medallion architecture) using Azure Cloud and Microsoft Fabric for a maritime shipping company.
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team…
Builds and maintains scalable data pipelines, lakehouse architectures, and cloud-based data platforms for analytics, reporting, and ML, ensuring data quality, security, and performance in a hybrid Barcelona setting.
Senior Data Engineer building APIs with Python and FastAPI to expose data from a Gold Layer to internal consumers, integrating with data platforms and pipelines using SQL, in a hybrid role in Málaga.
Tras más de 25 años ejecutando más de 1500 proyectos y desarrollando soluciones tecnológicas de negocio, Stratesys se ha convertido en una multinacional líder en servicios digitales y una de las mayores especialistas…
Data Engineer Senior (Azure & Databricks) – Sector Seguros Ubicación: Un día presencial en oficina de Barcelona Buscamos perfiles de Data Engineers para unirse a un proyecto estratégico de larga duración en el…
Senior Data Engineer building scalable data pipelines that connect industrial systems (sensors, PLC, MES) to a modern Azure/Databricks cloud platform, using Python, Kafka, Spark, and MLOps in a hybrid role based in Barcelona.
Senior BI Developer designing, building, and optimizing data intelligence solutions using Microsoft (Power BI, Fabric) and IBM (Cognos, DB2) platforms, with heavy emphasis on T-SQL, ETL, data warehousing, and data modeling to support strategic decision-making.
Data Scientist on a 10-person Alpha Science team at a large Canadian pension fund, building data pipelines, ML models, and dashboards in Python and SQL to support investment decision-making across asset classes using market and alternative datasets.
Designs and optimizes enterprise data platforms for analytics and AI, focusing on scalable, secure data pipelines, lakehouses, and warehouses using Microsoft Fabric and Azure.
Leads AI/data engineering solutions on RBC’s hybrid multi-cloud platform, designing scalable pipelines, RAG systems, and agentic workflows to meet business objectives. Mentors teams and ensures robust, governed data products for financial AI applications.
Machine Learning Engineer at Manulife designing, building, and operating ML/AI platforms and pipelines from experimentation to production at scale, using Python, CI/CD tools, Docker/Kubernetes, Terraform, and Azure cloud services.
This role blends 40% data architecture with 60% hands-on Power BI development for a public sector or healthcare client. Core technologies include Power BI, Databricks, Azure Data Factory, Synapse, and SQL Server.
Build scalable data pipelines connecting industrial plants to Azure and Databricks, enabling ML models and analytics for production, energy, and logistics efficiency.
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