Vagas de Data Processing Pipelines em Castelo Branco

Uma empresa de consultoria em TI está à procura de um Azure Data Engineer com experiência em Databricks para integrar projetos internacionais. O profissional deverá ter pelo menos 4 anos de experiência em engenharia de dados, ser fluente em inglês e ter conhecimentos sobre Azure Data Services e otim

A leading technology consulting firm is seeking an experienced Data Engineer in Portugal. The role requires over 4 years of experience in data engineering, with proficiency in building sustainable data pipelines and designing data warehouses. Candidates should be skilled in Python, SQL, and NoSQL, a

Uma empresa de tecnologia em Portugal procura um profissional com sólida experiência em Python e ferramentas de dados como Databricks e Apache Spark. Oferecendo um ambiente 'People First', a empresa prioriza o equilíbrio entre vida profissional e pessoal, além de benefícios como formação contínua e

pbResponsibilities /b /ppbr/pulliBuild and maintain ingestion pipelines from operational systems, files, APIs and events /liliDesign batch and streaming data pipelines that are resilient, observable and testable /liliNormalize, enrich and transform raw data into reusable, well-structured datasets /l

ResponsibilitiesBuild and maintain ingestion pipelines from operational systems, files, APIs and eventsDesign batch and streaming data pipelines that are resilient, observable and testableNormalize, enrich and transform raw data into reusable, well-structured datasetsEnforce schemas, validate inputs

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WH

Responsibilities Build and maintain ingestion pipelines from operational systems, files, APIs and events Design batch and streaming data pipelines that are resilient, observable and testable Normalize, enrich and transform raw data into reusable, well-structured datasets Enforce schemas, validate in

Responsibilities Build and maintain ingestion pipelines from operational systems, files, APIs and events Design batch and streaming data pipelines that are resilient, observable and testable Normalize, enrich and transform raw data into reusable, well-structured datasets Enforce schemas, validate in

Responsibilities Build and maintain ingestion pipelines from operational systems, files, APIs and events Design batch and streaming data pipelines that are resilient, observable and testable Normalize, enrich and transform raw data into reusable, well-structured datasets Enforce schemas, validate in

pbResponsibilities /b /ppbr/pulliBuild and maintain ingestion pipelines from operational systems, files, APIs and events /liliDesign batch and streaming data pipelines that are resilient, observable and testable /liliNormalize, enrich and transform raw data into reusable, well-structured datasets /l

Confidential Jobs

Responsibilities Build and maintain ingestion pipelines from operational systems, files, APIs and events Design batch and streaming data pipelines that are resilient, observable and testable Normalize, enrich and transform raw data into reusable, well-structured datasets Enforce schemas, validate in

Uma empresa de consultoria tecnológica em Portugal procura um profissional experiente para desenvolver soluções de Data Processing. O candidato ideal tem mais de 5 anos de experiência com MS-SQL e bases de dados relacionais, incluindo PostgreSQL. Oferecemos um ambiente de trabalho acolhedor e oportu

Confidential Jobs

ResponsibilitiesBuild and maintain ingestion pipelines from operational systems, files, APIs and events Design batch and streaming data pipelines that are resilient, observable and testable Normalize, enrich and transform raw data into reusable, well-structured datasets Enforce schemas, validate inp

Responsibilities Build and maintain ingestion pipelines from operational systems, files, APIs and events Design batch and streaming data pipelines that are resilient, observable and testable Normalize, enrich and transform raw data into reusable, well-structured datasets Enforce schemas, validate in

Caixa Mágica Software

pbOverview: /b /ppWe are seeking a Lead AI Engineer (LLMs Data Pipelines) to drive the design, integration, and operational excellence of LLM-powered capabilities across our platforms. /ppIn this role, you will build intelligent features such as classification, extraction, summarization, and action

Caixa Mágica Software

Overview:We are seeking a Lead AI Engineer (LLMs & Data Pipelines) to drive the design, integration, and operational excellence of LLM-powered capabilities across our platforms.In this role, you will build intelligent features such as classification, extraction, summarization, and action orchestrati

Caixa Mágica Software

Overview: We are seeking a Lead AI Engineer (LLMs & Data Pipelines) to drive the design, integration, and operational excellence of LLM-powered capabilities across our platforms. In this role, you will build intelligent features such as classification, extraction, summarization, and action orchestra

Overview: We are seeking a Lead AI Engineer (LLMs & Data Pipelines) to drive the design, integration, and operational excellence of LLM-powered capabilities across our platforms. In this role, you will build intelligent features such as classification, extraction, summarization, and action orchestra

Overview: We are seeking a Lead AI Engineer (LLMs & Data Pipelines) to drive the design, integration, and operational excellence of LLM-powered capabilities across our platforms. In this role, you will build intelligent features such as classification, extraction, summarization, and action orchestra

Overview: We are seeking a Lead AI Engineer (LLMs & Data Pipelines) to drive the design, integration, and operational excellence of LLM-powered capabilities across our platforms. In this role, you will build intelligent features such as classification, extraction, summarization, and action orchestra