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Builds and maintains AI-driven document parsing pipelines (OCR, VLM, multimodal AI) for SingTel’s AIDA unit, extracting structured/unstructured data (PDFs, images, audio, etc.) and optimizing embedding models for semantic search and GenAI applications.
Designs and maintains AWS-based data pipelines, Data Lake frameworks, and real-time data processing systems for fintech clients, using Spark, Python, and Kafka to optimize data workflows.
LT Data Integration Engineer En Ready Buscamos un(a) LT Data Integration Engineer con experiencia en el diseño, desarrollo y operación de soluciones de integración de datos empresariales utilizando Informatica…
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…
The Data Engineer will design, develop, and maintain scalable ETL pipelines using Databricks and Azure cloud platforms. The role involves integrating diverse data sources, ensuring data quality, and collaborating with analytics and product teams to support reporting and machine learning workloads.
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 lead the build-out of a modern, real-time data platform for a large bank’s transaction banking unit, using Databricks, Spark, Kafka, and Azure to power analytics, AI, and regulatory reporting.
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.
🚀 ¡Seguimos buscando talento… y nos encantaría que te unieras a nuestro equipo! Para que nos conozcas algo mejor, UST es una multinacional norteamericana certificada como Top Employer, con más de 35.000 empleados a…
Hay proyectos de datos donde el reto no está solo en mover información de un sitio a otro. Está en diseñar pipelines que escalen, modelos que respondan bien bajo carga, procesos robustos de ingesta y transformación, y…
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.
Data Scientist developing ML forecasting models to balance Denmark's electricity grid, using Python, PySpark, Azure, and Databricks within Energinet's Digital Balancing Products team in Fredericia.
Design, build, deploy, and scale production-grade AI/ML and GenAI solutions for Manulife's Long-Term Care program using Python, Azure, Databricks, MLOps/LLMOps frameworks, and LLMs.
Build scalable data pipelines connecting industrial plants to Azure and Databricks, enabling ML models and analytics for production, energy, and logistics efficiency.
Designs and builds scalable data pipelines to transform complex healthcare data (e.g., OMOP/FHIR) into research-ready datasets, collaborating with data scientists and engineers to ensure data quality, governance, and usability for global health research initiatives.
Data Platform Engineer responsible for designing, building, and maintaining a modern Azure-based lakehouse platform (Delta Lake, medallion architecture) with ETL/ELT pipelines, while driving the transition to Microsoft Fabric.
Designs, builds, and optimizes Azure Databricks-based data pipelines and lakehouses for clients, ensuring reliability, performance, and security while advising on AI and governance improvements.
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