remote data engineer cloud databricks dataops lead

About Zego At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating...

About Zego At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating...

About Zego At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating...

Career Category Information Systems Job Description Join our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces(TM) ranking by Great Place to Work(R) in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201-500 employees), reinforcing...

Etl Engineer | Data Pipeline Expert, Hybrid Porto - €***** - €***** A Month PrimeIT São Mamede De Infesta, Portuguese Republic, PTDescrição do cargoSeeking an ETL Engineer with 3+ years of experience in data pipelines and frameworks like DBT, Azure Data Factory, and Talend.Requires fluency in Portuguese for a hybrid role in Porto.Empregos...

Lead Cloud Data Engineer to build next-gen cloud data ecosystem on AWS/Databricks for AI-driven insights, analytics, ML, and business growth.

About Zego At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating...

Data Engineer (Azure/Snowflake) - Hybrid Lisbon (1-2 days/week office) ABOUT THE OPPORTUNITY Join one of Europe's largest parcel and logistics groups, operating in around 40 countries with more than 120 hubs and 1,600+ depots, and moving millions of parcels every day. The Group is centrally driving its AI agenda through a multi-pillar model: domain-specific...

About Zego At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating...

About Zego At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating...

Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day. Planet empowers its customers to deliver great customer experiences by combining payments and software in...

// Bee motto if (me.dareToChange() == true) { me.sendCV(); me.happy(true); } We code opportunities, not just solutions. We are an information technology consultancy, specialised in IT-related Engineering projects. Our team consists of around 200 curious, bold, and solution-hacking professionals. We invest in training, certifications, and challenges that...

Design, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference.Build and maintain scalable ETL pipelines to support reliable and efficient data flows.Develop, evaluate, and continuously improve ML models for recommendation systems.Research, prototype, and implement state-of-the-art (SOTA) approaches to improve...

- Design, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference. - Build and maintain scalable ETL pipelines to support reliable and efficient data flows. - Develop, evaluate, and continuously improve ML models for recommendation systems. - Research, prototype, and implement state-of-the-art (SOTA) approaches to...

- Design, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference. - Build and maintain scalable ETL pipelines to support reliable and efficient data flows. - Develop, evaluate, and continuously improve ML models for recommendation systems. - Research, prototype, and implement state-of-the-art (SOTA) approaches to...

- Design, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference. - Build and maintain scalable ETL pipelines to support reliable and efficient data flows. - Develop, evaluate, and continuously improve ML models for recommendation systems. - Research, prototype, and implement state-of-the-art (SOTA) approaches to...

- Design, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference. - Build and maintain scalable ETL pipelines to support reliable and efficient data flows. - Develop, evaluate, and continuously improve ML models for recommendation systems. - Research, prototype, and implement state-of-the-art (SOTA) approaches to...

- Design, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference. - Build and maintain scalable ETL pipelines to support reliable and efficient data flows. - Develop, evaluate, and continuously improve ML models for recommendation systems. - Research, prototype, and implement state-of-the-art (SOTA) approaches to...

- Design, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference. - Build and maintain scalable ETL pipelines to support reliable and efficient data flows. - Develop, evaluate, and continuously improve ML models for recommendation systems. - Research, prototype, and implement state-of-the-art (SOTA) approaches to...

- Design, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference. - Build and maintain scalable ETL pipelines to support reliable and efficient data flows. - Develop, evaluate, and continuously improve ML models for recommendation systems. - Research, prototype, and implement state-of-the-art (SOTA) approaches to...