Senior Data Engineer at blend360 | Montevideo

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 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

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.

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.

Turner Townsend is seeking a highly skilled Project Scheduler to lead scheduling efforts for our data center construction projects. In this pivotal role, you will work closely with project managers, engineers, and construction teams to develop and maintain accurate project schedules that meet client expectations and project deliverables.Your expertise in project scheduling methodologies and tools will ensure timely project execution while optimizing resource allocation and minimizing risks. If you're ready to take on challenging projects and contribute to the growth of our real estate division, we want to hear from you!

We are seeking a highly skilled and experienced Cost Manager to join our team, specializing in data center construction projects. As a key player in our organization, you will oversee budgeting, forecasting, and cost control processes to ensure the successful delivery of projects on time and within budget.Your expertise will be crucial in providing accurate cost estimates, managing project financials, and collaborating with various stakeholders to optimize project outcomes. You will lead a team of cost professionals, driving efficiencies while maintaining quality standards.

Join Turner Townsend as a BIM Design Manager specializing in Data Center Construction Projects. In this pivotal role, you will lead the implementation of Building Information Modeling (BIM) strategies, ensuring the successful delivery of cutting-edge data center projects. Your expertise will drive efficiency, accuracy, and collaboration across multidisciplinary teams, enhancing project outcomes.

We are seeking an experienced Health, Safety, and Environment (HSE) Manager to oversee our data center construction projects. The ideal candidate will ensure compliance with health and safety regulations, implement effective safety programs, and foster a culture of safety within our teams. You will be responsible for conducting risk assessments, delivering safety training, and collaborating with project managers to maintain a safe working environment.

Role Overview Blend360 is hiring a Senior Cloud & DevOps Engineer in Montevideo. This role focuses on designing and implementing cloud solutions to improve operational efficiency. The engineer will work closely with cross-functional teams to refine processes and maintain a reliable, scalable cloud infrastructure. What You Will Do Design and build cloud solutions to support business needs Collaborate with teams across the company to streamline workflows Ensure the reliability and scalability of cloud infrastructure Contribute to projects that drive technical innovation at Blend360