Data Quality Engineer

Join Blend360 as a Data Quality Engineer, where you will play a critical role in ensuring the integrity and reliability of our data systems. You will collaborate with teams to develop and implement data quality standards, perform data analysis, and recommend improvements to enhance data processes.

Role Overview Double is hiring a Product Quality Engineer in Montevideo, Uruguay. This role focuses on upholding and improving the quality of our products through hands-on involvement in quality assurance activities. What You Will Do Implement and maintain quality assurance processes for product lines Conduct product inspections to verify compliance with quality standards Work closely with teams across functions to support ongoing improvement efforts Location This position is based in Montevideo, Uruguay.

WHO ARE WE?Launch Potato is a thriving digital media enterprise that engages over 30 million visitors monthly through popular brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As a leader in discovery and conversion, our mission is to connect consumers to top brands through innovative, data-driven content and technology.With our headquarters located in South Florida, our remote-first team spans across more than 15 countries, fostering a high-growth culture that prioritizes speed, ownership, and impactful results.WHY JOIN US?At Launch Potato, you will fast-track your career while taking ownership of your outcomes and making a difference alongside a global team of high-achievers.

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).

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.

Join Delivery Hero as a Quality Control Insights Specialist and play a crucial role in ensuring the highest quality standards across our platform. You will be responsible for analyzing data, identifying trends, and providing actionable insights to enhance our quality control processes.

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.

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.

WHO WE ARE:Launch Potato is a thriving digital media company that engages over 30 million monthly visitors through our diverse brands, including FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, we aim to connect consumers with the world’s leading brands through innovative, data-driven content and technology.Headquartered in South Florida, our remote-first team spans over 15 countries, fostering a high-growth culture where speed, accountability, and measurable impact propel our success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, working swiftly, and making an impact alongside a global team of high achievers.

Join Delivery Hero as a Senior Analyst of Quality and Process Optimization in Montevideo, where you will play a crucial role in enhancing our operational efficiency and quality standards. You will be responsible for analyzing current processes, identifying areas for improvement, and implementing effective solutions that align with our organizational goals.

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!

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

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.

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 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

Business Intelligence (BI) Analytics EngineerAt SunnyData, we are dedicated to guiding our clients on their data journey, equipping them with the tools to enhance their business outcomes. We believe that a robust foundation is essential for achieving exceptional data-driven results through highly scalable architectures, resilient data engineering pipelines, intuitive data consumption layers, and precise machine learning (ML) and artificial intelligence (AI) applications. We are currently looking for a Business Intelligence (BI) Analytics Engineer to assist with ongoing reporting and data engineering requirements. This position will be pivotal in developing and maintaining business reports across various BI tools and will involve modeling and transforming vast datasets.An proactive approach, excellent communication skills, and the ability to work collaboratively with cross-functional teams are essential for success in this role.Your Impact1. Business Intelligence & ReportingDesign, update, and maintain dashboards and reports using BI tools such as PowerBI, Tableau, and Databricks AI/BI.Convert business requests (submitted via the ticketing system) into precise and actionable data visualizations.Ensure uniformity in definitions, metrics, and data logic across all reports.Enhance queries and dashboards for improved performance and clarity.Thoroughly document the logic and assumptions underlying key metrics and dashboards.2. Data Engineering & Data ModelingDemonstrate advanced SQL expertise and proven ability to write and optimize SQL queries.Develop and maintain database views, derived tables, and other analytical structures to facilitate reporting needs.Proven experience in dashboard engineering projects, emphasizing storytelling and usability.Conduct data modeling and transformation tasks to ensure dependable downstream reporting.Identify and resolve data discrepancies while validating data accuracy across systems.Collaborate on enhancements to data structure and warehouse organization as necessary.3. Deliverables & Success MetricsDeliver accurate, well-documented dashboards within agreed SLAs.Create clean, reusable SQL objects to support long-term reporting needs.Enhance clarity and consistency in metric definitions.Minimize back-and-forth on reporting requests through improved clarity.

Join Turner Townsend as a Project Manager specializing in Data Center Construction Projects. In this pivotal role, you will oversee and drive the successful delivery of data center projects from inception to completion. Your expertise in project management will ensure that projects are completed on time, within scope, and to the highest quality standards.

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.

Are you passionate about sports? Join us as a Sports Data Collector (Football) and turn your enthusiasm into a rewarding opportunity! Genius Sports, a leading global sports technology firm, delivers official live data for prominent leagues, federations, and media platforms worldwide.As a Sports Data Collector, you will attend live sporting events to capture real-time, detailed game data using our cutting-edge software.

Join our dynamic team as a Document Controller specializing in data center construction projects. We are looking for an individual who is not only highly organized but also possesses an eye for detail, ideally with experience in construction project environments. This critical position, based in Montevideo, Uruguay, will ensure comprehensive control, traceability, and compliance of all project documentation throughout the construction lifecycle in a technical and regulated atmosphere.Key Responsibilities:Establish and manage a sophisticated document control system tailored to data center construction, facilitating accurate tracking, version control, and approval workflows across various teams, including engineering, construction, QA/QC, HSE, commissioning, and client stakeholders.Centralize and oversee all project documentation through all phases: pre-construction, construction, commissioning, and final handover.Compile, coordinate, and validate all documentation necessary for project closeout, ensuring compliance with client standards, regulatory needs, and best practices for mission-critical infrastructures.Organize, maintain, and audit project folders, document matrices, and logs of correspondence, including RFIs, submittals, as-built drawings, IFC drawings, technical reports, permits, and compliance records.Develop, revise, and enforce Document Control Guidelines and Procedures that align with company policies and construction standards specific to data center projects.Administer and enhance the company’s Document Management System (DMS) to ensure accuracy, consistency, and scalability for large-scale technical projects.Assist internal teams and contractors in adhering to document control standards, including file naming conventions, templates, revision procedures, and workflow adoption.Track document flow, provide regular updates, and flag overdue or pending documents to ensure project continuity and prevent bottlenecks.