Senior Data Engineer jobs in Montevideo – Browse 53 openings on RoboApply Jobs
Senior Data Engineer jobs in Montevideo
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Blend360 seeks a Senior Data Engineer based in Montevideo. The role centers on developing and refining the data infrastructure that supports decision-making across the company.
Blend360 is a leading data consulting firm that specializes in providing innovative data solutions to our clients. Our mission is to empower organizations to leverage their data effectively, transforming it into actionable insights. We value creativity, collaboration, and a commitment to excellence in everything we do.
Blend360
Role overview Blend360 seeks a Senior Data Engineer based in Montevideo. The role centers on developing and refining the data infrastructure that supports decision-making across the company. What you will do Design, build, and enhance data pipelines to support business needs Create and maintain scalable data architectures Collaborate with teams throughout the organization to keep data accurate and accessible
Role Overview blend360 is hiring a Senior Data Engineer in Montevideo. This position focuses on building and maintaining data solutions that support business insights and decision-making. The Senior Data Engineer will work closely with teams across the company to ensure data infrastructure supports blend360’s strategic objectives. What You Will Do Design and implement data architectures that meet business needs Maintain and optimize data systems for reliability and performance Collaborate with colleagues from different departments to align data infrastructure with company goals Support the use of data assets to drive analytics and decision-making What We Look For Strong experience in data engineering and architecture Ability to create and maintain scalable data solutions Comfort working with cross-functional teams Interest in supporting business growth through effective data use Location This role is based in Montevideo.
At SunnyData, we are dedicated to guiding our clients through their data journey to empower their business operations. We understand that a robust data infrastructure is essential for achieving exceptional data-driven outcomes, including scalable architectures, resilient data engineering pipelines, straightforward data consumption layers, and precise machine learning (ML) and artificial intelligence (AI) applications. As a Senior Data Engineer, you will be integral to this journey, collaborating closely with internal teams and clients to design, construct, and implement data solutions that capture, explore, transform, and leverage data to facilitate insights in AI, ML, and business intelligence.Your ImpactJoin a dedicated team committed to addressing the data engineering needs of both new and existing clients.Advise clients on optimal technical choices to meet their objectives.Manage multiple customer accounts, ensuring consistent tracking and reporting on their progress.Design, develop, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data quality and cleansing strategies.Evaluate data sources to assess their utility and recommend integration into analytical processes.Incorporate essential data management principles, including governance, security, and quality.Collaborate within and across teams to facilitate delivery and educate end-users on data products and analytic environments.Conduct data and system analyses, identifying and resolving defects and incidents of moderate complexity.Test data movement, transformation code, and data components.QualificationsA minimum of 5 years of experience in data engineering and data product development.Proficiency in one or more of the following technologies:Data Engineering technologies (e.g., Spark, Hadoop, Kafka)Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)Strong understanding of the complete data analytics workflow.Proven track record of domain expertise, including the ability to comprehend technical challenges and deliver effective solutions.
SunnyData
Are you eager to elevate your career in the dynamic and cutting-edge field of data engineering?At SunnyData, we are dedicated to guiding our clients through their data journey, empowering their businesses with actionable insights. We understand that a robust foundation is essential for achieving exceptional data-driven outcomes: from highly scalable architectures and resilient data engineering pipelines to intuitive data consumption layers and precise machine learning and AI applications. As a Data Engineer, you will be instrumental in this journey. Collaborating with both internal teams and clients, you will design, construct, and deploy data solutions that capture, analyze, transform, and leverage data to enhance Artificial Intelligence, Machine Learning, and Business Intelligence initiatives.Your ImpactContribute to a team that supports both new and existing clients with their data engineering requirements.Advise clients on optimal technical strategies to achieve their objectives.Manage multiple customer accounts, tracking and reporting on their progress.Design, develop, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data cleansing and quality strategies.Evaluate data sources to ascertain their value and recommend inclusion in analytical workflows.Apply core data management principles, including data governance, security, and quality.Collaborate with teams to deliver solutions and educate end users on data products and analytic environments.Conduct data and system analysis, addressing defects and incidents of moderate complexity and implementing corrections as necessary.Test data movement, transformation code, and data components.QualificationsSelf-motivated individual with a commitment to continuous learning and excellent time management skills.Strong verbal and written communication skills in English.Availability for either part-time (6 hours) or full-time (8 hours) work.Familiarity with public cloud services such as AWS, Azure, or GCP.Preferred: Experience with one or more data engineering technologies (e.g., Spark, Hadoop, Kafka).
Delivery Hero
Role overview Delivery Hero is looking for a Senior Data Analyst in Montevideo. This role focuses on analyzing large and complex datasets to support data-driven decisions across the company. The analyst will work closely with teams from different departments to improve both operations and customer experience. What you will do Analyze complex datasets to uncover trends and patterns Translate data findings into clear, actionable insights Collaborate with cross-functional teams to support projects and business goals Contribute to ongoing improvements in operations and customer satisfaction Location This position is based in Montevideo.
Speechify is looking for a Software Engineer focused on Data Infrastructure and Acquisition in Montevideo, Uruguay. This role collaborates with team members across different groups to develop and enhance the systems that gather and manage data for Speechify’s products. Role overview The main responsibility is to support dependable data pipelines and improve data collection processes. The goal is to ensure applications have consistent access to accurate, high-quality information. This position plays a key part in strengthening how Speechify handles and utilizes data. Collaboration Working with colleagues from several teams, this engineer helps maintain and refine the core data infrastructure. The work involves both building new systems and improving existing ones to meet the needs of Speechify’s products.
At SunnyData, we are dedicated to empowering our clients by constructing highly scalable architectures, developing robust data engineering pipelines, and creating user-friendly data consumption layers. Most importantly, we focus on building advanced Machine Learning (ML) and Artificial Intelligence (AI) applications that drive exceptional business outcomes. As a Senior Machine Learning Engineer, you will spearhead intricate data projects, design predictive models, and implement scalable machine learning solutions. You will collaborate across various teams including engineering, product, and analytics to generate actionable insights and impact critical business decisions.Your ContributionLead the architecture, development, and deployment of machine learning models.Work with extensive and intricate datasets to extract valuable insights and establish predictive analytics pipelines.Partner with data engineers to design and enhance cloud-based data solutions.Convert business challenges into data-driven strategies utilizing statistical modeling and machine learning methodologies.Streamline data workflows and model deployment processes using cloud services and CI/CD methodologies.Guide junior data scientists and contribute to the establishment of best practices in model development and implementation.Effectively communicate insights and strategic recommendations to stakeholders and executive leadership.Desired QualificationsA minimum of 5 years of experience in data science or machine learning positions.Strong proficiency in Python (including libraries such as pandas, scikit-learn, PyTorch, or TensorFlow) and SQL.A solid foundation in statistics, A/B testing, and machine learning algorithms.Proven experience in building and deploying models in production settings.Familiar with MLOps tools and practices (e.g., MLflow, SageMaker Pipelines, Airflow).Exceptional communication and leadership capabilities.Preferred QualificationsExperience with big data technologies (e.g., Spark, EMR).Familiarity with containerization technologies (e.g., Docker, ECS, EKS) and serverless architectures.EducationBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.
Delivery Hero
Join the Engineering team at Fintech within PedidosYa, where you will have the chance to contribute to the development of one of our fastest-growing products, working directly at its core. This role involves building from the ground up one of the company’s most ambitious strategic bets for the long term. We are looking for talented engineers who are eager to tackle complex technical challenges and design financial solutions that transform the experiences of millions of users in a highly demanding environment.Drive best coding quality practices to ensure scalability and flexibility.Develop microservices that meet our high standards.Integrate internal and external services to enhance user experience.Collaborate with the team to propose and develop new features and improvements.Work within a high-performance team to achieve set objectives.
Join blend360 as a Senior Software Engineer specializing in Python, where you will play a critical role in our software development team. You will be responsible for designing, developing, and maintaining high-quality software solutions that meet the needs of our clients. Your expertise in Python will ensure the efficiency and scalability of our applications.
Join our dynamic team at nix as a Senior Automation Quality Assurance Engineer! We are seeking a talented and proactive individual who is passionate about ensuring software quality and driving automation initiatives. If you have a keen eye for detail and a commitment to excellence, we want to hear from you!
Sportradar AG
OVERVIEW:At Sportradar, precision is paramount. We invite passionate individuals to join our dynamic team of dedicated professionals who strive for excellence. In this role, you will oversee data collection processes while ensuring top-notch quality standards.THE CHALLENGE:Monitor live sports events and manage sports data.Confirm post-match results.Conduct thorough research on sports data.Engage with a worldwide network of scouts and freelancers.YOUR PROFILE:Demonstrated enthusiasm and knowledge across various sports disciplines.Availability to work in shifts as our operations align with sports schedules.Exceptional attention to detail and focus in all tasks.Ability to work well under pressure and maintain high routine tolerance.Proficient computer skills.Fluent in English, both spoken and written.Self-starter with a proactive attitude and a passion for teamwork.Adaptability to shifting priorities and product environments, meeting tight deadlines effectively.OUR OFFER:A collaborative environment with colleagues from diverse backgrounds globally, including exciting social events and team-building activities.Flexibility to organize your workday and manage your tasks autonomously.A balanced structure and autonomy to effectively tackle daily responsibilities.An inclusive community, featuring groups such as Women in Tech and Pride, welcoming all.Access to a Global Employee Assistance Programme.Utilization of the Calm and Reulay app, leading well-being applications designed to enhance focus, rest, mindfulness, and mental resilience.Availability of online training videos.Flexible working hours.OUR RECRUITMENT PROCESS:Initial Screening: Engage in a brief conversation with our Talent Acquisition Partner to discuss your background and anticipation.On-site Interview: Meet our management team and take a tour of our office during the second interview.Final Steps: Receive feedback and, if successful, a job offer!
Join our dynamic team at Blend360 as a Senior Software Engineer specializing in C#. In this role, you will contribute to innovative projects, lead technical initiatives, and collaborate with cross-functional teams to deliver high-quality software solutions. Your expertise in C# will be pivotal in driving our technology forward and enhancing our software development practices.
blend360
blend360 is seeking a Data Science Manager in Montevideo to guide a team of data scientists and shape analytical solutions that support business goals. This position centers on turning complex data into clear, actionable insights that help drive strategic decisions. Role overview The Data Science Manager oversees data science projects from start to finish, ensuring quality and alignment with company objectives. Collaboration with cross-functional teams is a key part of the role, as is translating technical findings into business-focused recommendations. Leadership and collaboration Lead and mentor a team of data scientists, supporting their growth and development Work with stakeholders across departments to understand needs and deliver results that make an impact What you will do Supervise the execution of data science projects Ensure analytical solutions align with business strategies Help translate complex data into insights that inform decision-making
Sportradar AG
Join our dynamic Sports Media Team as a Senior Software Engineer in Montevideo, Uruguay. At Sportradar, the world's premier sports technology firm, we are positioned at the nexus of sports, media, and betting, serving over 1,700 sports federations, media outlets, and betting operators across 120 countries. Our cutting-edge technology is pivotal in enhancing businesses in the sports sector.As a Senior Software Engineer, you will be instrumental in developing cloud-native solutions that process billions of calls monthly and serve hundreds of millions of TV viewers. Our team focuses on building platforms and products that collect, curate, distribute, analyze, and personalize sports data and content. With exclusive data rights from major leagues like MLB, NBA, NHL, and NASCAR, we provide unparalleled live game data to our customers, including industry giants like Apple, Google, and Fox Sports.
Join our innovative team at dept as a Senior QA Automation Engineer and contribute to the development of cutting-edge technology solutions. In this pivotal role, you will design and implement automated testing frameworks, ensuring the highest quality of our software products. Your expertise will guide our QA strategies and enhance our testing processes.
Role Overview nix is looking for a Senior Frontend Engineer with strong Angular experience to join the team in Uruguay. This position focuses on building user-friendly applications and improving user experience across projects. Collaboration with designers and backend engineers is central to the work, with an emphasis on delivering reliable, high-quality code. What You Will Do Develop and maintain frontend applications using Angular Write clean, maintainable, and well-documented code Participate in code reviews to uphold code quality Work closely with designers and backend engineers to deliver features Mentor junior developers and support their professional growth What to Expect Opportunities to work on challenging projects A team that values knowledge sharing and collaboration Location This role is based in Uruguay.
Coderio delivers digital solutions for global clients, managing projects from architecture through final delivery. Teams here work with a strong technical foundation and keep product outcomes at the center. The culture values autonomy, open communication, and high technical standards. Daily work often involves collaborating with international colleagues and partners. More about the company: http://coderio.com Role overview The Senior Java Engineer role in Montevideo centers on backend development for a fintech platform. The team maintains and evolves distributed systems in a live production environment. This position calls for experience with distributed architectures, production-ready systems, and a willingness to use AI tools as part of the workflow. What you will do Design, build, and operate backend solutions in Java, using microservices architectures Integrate messaging systems and asynchronous communication patterns Apply resilience best practices to maintain system reliability Work with AWS and NoSQL technologies Incorporate AI tools and approaches into daily engineering tasks Contribute to a complex fintech environment where autonomy and technical judgment matter
Delivery Hero
Join Delivery Hero as a Senior Analyst for our Agency Partner division. In this dynamic role, you will leverage your analytical expertise to drive strategic decisions and optimize agency partnerships. Your insights will directly influence our growth and success in the competitive delivery market.
Blend360 is seeking a Data Science Intern in Montevideo. This internship offers direct experience with data analysis and machine learning, supporting projects that address practical business problems. What you will do Work with a team focused on data-driven decision-making Contribute to projects that use data analysis and machine learning Help solve real-world challenges using data Who this role suits Individuals interested in data science and analytics Those seeking hands-on experience in a collaborative setting People eager to learn by working on meaningful projects
Blend360
Blend360 is seeking an AI Engineering Lead in Montevideo to guide complex AI projects and manage a team of engineers. This position centers on leading technical efforts that advance the company’s AI capabilities. Role overview As the AI Engineering Lead, the focus is on overseeing the development and implementation of AI solutions. The role involves coordinating a group of engineers, setting technical direction, and ensuring project goals align with broader business objectives. What you will do Lead AI engineering projects from planning through execution Direct and mentor a team of engineers working on AI initiatives Drive progress on new and existing AI technologies within the organization Requirements Experience managing or leading engineering teams in AI or related fields Strong technical background in artificial intelligence Ability to guide projects focused on advancing AI solutions
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Blend360
Role overview Blend360 seeks a Senior Data Engineer based in Montevideo. The role centers on developing and refining the data infrastructure that supports decision-making across the company. What you will do Design, build, and enhance data pipelines to support business needs Create and maintain scalable data architectures Collaborate with teams throughout the organization to keep data accurate and accessible
Role Overview blend360 is hiring a Senior Data Engineer in Montevideo. This position focuses on building and maintaining data solutions that support business insights and decision-making. The Senior Data Engineer will work closely with teams across the company to ensure data infrastructure supports blend360’s strategic objectives. What You Will Do Design and implement data architectures that meet business needs Maintain and optimize data systems for reliability and performance Collaborate with colleagues from different departments to align data infrastructure with company goals Support the use of data assets to drive analytics and decision-making What We Look For Strong experience in data engineering and architecture Ability to create and maintain scalable data solutions Comfort working with cross-functional teams Interest in supporting business growth through effective data use Location This role is based in Montevideo.
At SunnyData, we are dedicated to guiding our clients through their data journey to empower their business operations. We understand that a robust data infrastructure is essential for achieving exceptional data-driven outcomes, including scalable architectures, resilient data engineering pipelines, straightforward data consumption layers, and precise machine learning (ML) and artificial intelligence (AI) applications. As a Senior Data Engineer, you will be integral to this journey, collaborating closely with internal teams and clients to design, construct, and implement data solutions that capture, explore, transform, and leverage data to facilitate insights in AI, ML, and business intelligence.Your ImpactJoin a dedicated team committed to addressing the data engineering needs of both new and existing clients.Advise clients on optimal technical choices to meet their objectives.Manage multiple customer accounts, ensuring consistent tracking and reporting on their progress.Design, develop, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data quality and cleansing strategies.Evaluate data sources to assess their utility and recommend integration into analytical processes.Incorporate essential data management principles, including governance, security, and quality.Collaborate within and across teams to facilitate delivery and educate end-users on data products and analytic environments.Conduct data and system analyses, identifying and resolving defects and incidents of moderate complexity.Test data movement, transformation code, and data components.QualificationsA minimum of 5 years of experience in data engineering and data product development.Proficiency in one or more of the following technologies:Data Engineering technologies (e.g., Spark, Hadoop, Kafka)Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)Strong understanding of the complete data analytics workflow.Proven track record of domain expertise, including the ability to comprehend technical challenges and deliver effective solutions.
SunnyData
Are you eager to elevate your career in the dynamic and cutting-edge field of data engineering?At SunnyData, we are dedicated to guiding our clients through their data journey, empowering their businesses with actionable insights. We understand that a robust foundation is essential for achieving exceptional data-driven outcomes: from highly scalable architectures and resilient data engineering pipelines to intuitive data consumption layers and precise machine learning and AI applications. As a Data Engineer, you will be instrumental in this journey. Collaborating with both internal teams and clients, you will design, construct, and deploy data solutions that capture, analyze, transform, and leverage data to enhance Artificial Intelligence, Machine Learning, and Business Intelligence initiatives.Your ImpactContribute to a team that supports both new and existing clients with their data engineering requirements.Advise clients on optimal technical strategies to achieve their objectives.Manage multiple customer accounts, tracking and reporting on their progress.Design, develop, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data cleansing and quality strategies.Evaluate data sources to ascertain their value and recommend inclusion in analytical workflows.Apply core data management principles, including data governance, security, and quality.Collaborate with teams to deliver solutions and educate end users on data products and analytic environments.Conduct data and system analysis, addressing defects and incidents of moderate complexity and implementing corrections as necessary.Test data movement, transformation code, and data components.QualificationsSelf-motivated individual with a commitment to continuous learning and excellent time management skills.Strong verbal and written communication skills in English.Availability for either part-time (6 hours) or full-time (8 hours) work.Familiarity with public cloud services such as AWS, Azure, or GCP.Preferred: Experience with one or more data engineering technologies (e.g., Spark, Hadoop, Kafka).
Delivery Hero
Role overview Delivery Hero is looking for a Senior Data Analyst in Montevideo. This role focuses on analyzing large and complex datasets to support data-driven decisions across the company. The analyst will work closely with teams from different departments to improve both operations and customer experience. What you will do Analyze complex datasets to uncover trends and patterns Translate data findings into clear, actionable insights Collaborate with cross-functional teams to support projects and business goals Contribute to ongoing improvements in operations and customer satisfaction Location This position is based in Montevideo.
Speechify is looking for a Software Engineer focused on Data Infrastructure and Acquisition in Montevideo, Uruguay. This role collaborates with team members across different groups to develop and enhance the systems that gather and manage data for Speechify’s products. Role overview The main responsibility is to support dependable data pipelines and improve data collection processes. The goal is to ensure applications have consistent access to accurate, high-quality information. This position plays a key part in strengthening how Speechify handles and utilizes data. Collaboration Working with colleagues from several teams, this engineer helps maintain and refine the core data infrastructure. The work involves both building new systems and improving existing ones to meet the needs of Speechify’s products.
At SunnyData, we are dedicated to empowering our clients by constructing highly scalable architectures, developing robust data engineering pipelines, and creating user-friendly data consumption layers. Most importantly, we focus on building advanced Machine Learning (ML) and Artificial Intelligence (AI) applications that drive exceptional business outcomes. As a Senior Machine Learning Engineer, you will spearhead intricate data projects, design predictive models, and implement scalable machine learning solutions. You will collaborate across various teams including engineering, product, and analytics to generate actionable insights and impact critical business decisions.Your ContributionLead the architecture, development, and deployment of machine learning models.Work with extensive and intricate datasets to extract valuable insights and establish predictive analytics pipelines.Partner with data engineers to design and enhance cloud-based data solutions.Convert business challenges into data-driven strategies utilizing statistical modeling and machine learning methodologies.Streamline data workflows and model deployment processes using cloud services and CI/CD methodologies.Guide junior data scientists and contribute to the establishment of best practices in model development and implementation.Effectively communicate insights and strategic recommendations to stakeholders and executive leadership.Desired QualificationsA minimum of 5 years of experience in data science or machine learning positions.Strong proficiency in Python (including libraries such as pandas, scikit-learn, PyTorch, or TensorFlow) and SQL.A solid foundation in statistics, A/B testing, and machine learning algorithms.Proven experience in building and deploying models in production settings.Familiar with MLOps tools and practices (e.g., MLflow, SageMaker Pipelines, Airflow).Exceptional communication and leadership capabilities.Preferred QualificationsExperience with big data technologies (e.g., Spark, EMR).Familiarity with containerization technologies (e.g., Docker, ECS, EKS) and serverless architectures.EducationBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.
Delivery Hero
Join the Engineering team at Fintech within PedidosYa, where you will have the chance to contribute to the development of one of our fastest-growing products, working directly at its core. This role involves building from the ground up one of the company’s most ambitious strategic bets for the long term. We are looking for talented engineers who are eager to tackle complex technical challenges and design financial solutions that transform the experiences of millions of users in a highly demanding environment.Drive best coding quality practices to ensure scalability and flexibility.Develop microservices that meet our high standards.Integrate internal and external services to enhance user experience.Collaborate with the team to propose and develop new features and improvements.Work within a high-performance team to achieve set objectives.
Join blend360 as a Senior Software Engineer specializing in Python, where you will play a critical role in our software development team. You will be responsible for designing, developing, and maintaining high-quality software solutions that meet the needs of our clients. Your expertise in Python will ensure the efficiency and scalability of our applications.
Join our dynamic team at nix as a Senior Automation Quality Assurance Engineer! We are seeking a talented and proactive individual who is passionate about ensuring software quality and driving automation initiatives. If you have a keen eye for detail and a commitment to excellence, we want to hear from you!
Sportradar AG
OVERVIEW:At Sportradar, precision is paramount. We invite passionate individuals to join our dynamic team of dedicated professionals who strive for excellence. In this role, you will oversee data collection processes while ensuring top-notch quality standards.THE CHALLENGE:Monitor live sports events and manage sports data.Confirm post-match results.Conduct thorough research on sports data.Engage with a worldwide network of scouts and freelancers.YOUR PROFILE:Demonstrated enthusiasm and knowledge across various sports disciplines.Availability to work in shifts as our operations align with sports schedules.Exceptional attention to detail and focus in all tasks.Ability to work well under pressure and maintain high routine tolerance.Proficient computer skills.Fluent in English, both spoken and written.Self-starter with a proactive attitude and a passion for teamwork.Adaptability to shifting priorities and product environments, meeting tight deadlines effectively.OUR OFFER:A collaborative environment with colleagues from diverse backgrounds globally, including exciting social events and team-building activities.Flexibility to organize your workday and manage your tasks autonomously.A balanced structure and autonomy to effectively tackle daily responsibilities.An inclusive community, featuring groups such as Women in Tech and Pride, welcoming all.Access to a Global Employee Assistance Programme.Utilization of the Calm and Reulay app, leading well-being applications designed to enhance focus, rest, mindfulness, and mental resilience.Availability of online training videos.Flexible working hours.OUR RECRUITMENT PROCESS:Initial Screening: Engage in a brief conversation with our Talent Acquisition Partner to discuss your background and anticipation.On-site Interview: Meet our management team and take a tour of our office during the second interview.Final Steps: Receive feedback and, if successful, a job offer!
Join our dynamic team at Blend360 as a Senior Software Engineer specializing in C#. In this role, you will contribute to innovative projects, lead technical initiatives, and collaborate with cross-functional teams to deliver high-quality software solutions. Your expertise in C# will be pivotal in driving our technology forward and enhancing our software development practices.
blend360
blend360 is seeking a Data Science Manager in Montevideo to guide a team of data scientists and shape analytical solutions that support business goals. This position centers on turning complex data into clear, actionable insights that help drive strategic decisions. Role overview The Data Science Manager oversees data science projects from start to finish, ensuring quality and alignment with company objectives. Collaboration with cross-functional teams is a key part of the role, as is translating technical findings into business-focused recommendations. Leadership and collaboration Lead and mentor a team of data scientists, supporting their growth and development Work with stakeholders across departments to understand needs and deliver results that make an impact What you will do Supervise the execution of data science projects Ensure analytical solutions align with business strategies Help translate complex data into insights that inform decision-making
Sportradar AG
Join our dynamic Sports Media Team as a Senior Software Engineer in Montevideo, Uruguay. At Sportradar, the world's premier sports technology firm, we are positioned at the nexus of sports, media, and betting, serving over 1,700 sports federations, media outlets, and betting operators across 120 countries. Our cutting-edge technology is pivotal in enhancing businesses in the sports sector.As a Senior Software Engineer, you will be instrumental in developing cloud-native solutions that process billions of calls monthly and serve hundreds of millions of TV viewers. Our team focuses on building platforms and products that collect, curate, distribute, analyze, and personalize sports data and content. With exclusive data rights from major leagues like MLB, NBA, NHL, and NASCAR, we provide unparalleled live game data to our customers, including industry giants like Apple, Google, and Fox Sports.
Join our innovative team at dept as a Senior QA Automation Engineer and contribute to the development of cutting-edge technology solutions. In this pivotal role, you will design and implement automated testing frameworks, ensuring the highest quality of our software products. Your expertise will guide our QA strategies and enhance our testing processes.
Role Overview nix is looking for a Senior Frontend Engineer with strong Angular experience to join the team in Uruguay. This position focuses on building user-friendly applications and improving user experience across projects. Collaboration with designers and backend engineers is central to the work, with an emphasis on delivering reliable, high-quality code. What You Will Do Develop and maintain frontend applications using Angular Write clean, maintainable, and well-documented code Participate in code reviews to uphold code quality Work closely with designers and backend engineers to deliver features Mentor junior developers and support their professional growth What to Expect Opportunities to work on challenging projects A team that values knowledge sharing and collaboration Location This role is based in Uruguay.
Coderio delivers digital solutions for global clients, managing projects from architecture through final delivery. Teams here work with a strong technical foundation and keep product outcomes at the center. The culture values autonomy, open communication, and high technical standards. Daily work often involves collaborating with international colleagues and partners. More about the company: http://coderio.com Role overview The Senior Java Engineer role in Montevideo centers on backend development for a fintech platform. The team maintains and evolves distributed systems in a live production environment. This position calls for experience with distributed architectures, production-ready systems, and a willingness to use AI tools as part of the workflow. What you will do Design, build, and operate backend solutions in Java, using microservices architectures Integrate messaging systems and asynchronous communication patterns Apply resilience best practices to maintain system reliability Work with AWS and NoSQL technologies Incorporate AI tools and approaches into daily engineering tasks Contribute to a complex fintech environment where autonomy and technical judgment matter
Delivery Hero
Join Delivery Hero as a Senior Analyst for our Agency Partner division. In this dynamic role, you will leverage your analytical expertise to drive strategic decisions and optimize agency partnerships. Your insights will directly influence our growth and success in the competitive delivery market.
Blend360 is seeking a Data Science Intern in Montevideo. This internship offers direct experience with data analysis and machine learning, supporting projects that address practical business problems. What you will do Work with a team focused on data-driven decision-making Contribute to projects that use data analysis and machine learning Help solve real-world challenges using data Who this role suits Individuals interested in data science and analytics Those seeking hands-on experience in a collaborative setting People eager to learn by working on meaningful projects
Blend360
Blend360 is seeking an AI Engineering Lead in Montevideo to guide complex AI projects and manage a team of engineers. This position centers on leading technical efforts that advance the company’s AI capabilities. Role overview As the AI Engineering Lead, the focus is on overseeing the development and implementation of AI solutions. The role involves coordinating a group of engineers, setting technical direction, and ensuring project goals align with broader business objectives. What you will do Lead AI engineering projects from planning through execution Direct and mentor a team of engineers working on AI initiatives Drive progress on new and existing AI technologies within the organization Requirements Experience managing or leading engineering teams in AI or related fields Strong technical background in artificial intelligence Ability to guide projects focused on advancing AI solutions
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