7 Ofertas de Data Engineer en Uruguay

Full-time

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

• Work on data extraction architectures and infrastructure for data sourcing.
• Find ways to merge newly discovered data with existing data.
• Identify opportunities to automate processes where possible.
• Create and maintain optimal data pipeline architectures.
• Assemble complex data sets that meet functional requirements.
• Work with cross-functional teams to assist with technical issues.
• Ensure the safety and integrity of data across geographic boundaries.
• Actively participate in planning, stand-ups, and retrospective meetings.

• 7+ years of experience in data engineering or a related role.
• Programming Languages: Python (pySpark), SQL
• Big Data Frameworks: Apache Spark, Databricks (including Delta Lake and Delta Tables) or equivalent
• Cloud Platforms & Services: AWS (main), Azure or GCP
• Data Engineering: Data pipelines, ETL/ELT design, batch and streaming data processing
• Data Storage & Management: Delta Tables, Azure Data Lake, Azure Blob Storage
• Orchestration & Integration: Azure Data Factory (ADF), Azure Functions, Event-driven architecture
• Workflow & Automation Tools: CI/CD pipelines, version control (Git), DevOps practices
• Data Modeling & Warehousing: Dimensional modeling, data lakes, lakehouse architectures
• Monitoring & Optimization: Performance tuning in Spark, job monitoring
• Collaboration Tools: Jira, Confluence, Agile/Scrum methodologies

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we're committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

At Endava, we're committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Who we are:

We are BASF, the largest chemical company in the world, with over 150 years of experience. In Montevideo, we are a Hub made up of more than 1,000 employees who provide services for all BASF companies in the Americas. We offer professional solutions in finance, purchasing, reporting, logistics, technology, human resources, projects, communication, legal matters, environment, safety, health, and quality.

Main Objective:

Ensure the leverage of data effectively for analytics, reporting, and decision-making by building and maintaining a robust data infrastructure for enterprise-grade IT solutions of BASF Agricultural Solutions.

Main Tasks:

• Design, build, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems such as data warehouses or data lakes.
• Integrate data from different databases, applications, and external sources, ensuring data consistency, integrity and accuracy.
• Create and maintain data models, schemas, and structures that facilitate efficient data storage and retrieval.
• Transform and clean raw data to prepare it for analysis, including handling missing values, data normalization, and aggregation.
• Implement data quality checks, validation processes, and error handling to maintain high data quality standards.
• Administer and optimize databases, including performance tuning, indexing, and ensuring data security.
• Automate ETL processes and routine tasks to improve efficiency and reduce manual intervention.
• Continuously monitor data pipelines and infrastructure for performance issues, errors, and data anomalies. Troubleshoot and resolve issues promptly.
• Stay updated with the latest data engineering tools and technologies and evaluate their suitability for the organization's needs.

Requirements:

• Education: Graduates or advanced students of Software Engineering, bachelor's degree in computer science, Telematics Engineering, Information Technology Analyst (or related careers).

• Working Experience:

• 3-5 years of experience in IT Consulting or related fields.

• Language skills: Advanced level of English (spoken and written).

• Technical skills:

• Advanced skills in understanding data requirements

• Advanced skills in design and implementation of ETL / ELT Data Pipelines
• Advanced skills in understanding data integrity requirements
• Advanced skills in Python, SQL, Open Source R, and Azure Cloud (must)

• Intermediate skills in Hadoop, Spark, AWS, Java, and Scala (nice to have)

• Soft skills:

• Advanced skills in effective communication

• Basic skills in project management

What we offer:

Living our Hub Montevideo means being part of a culture where the focus is on people and their professional and personal development. Our diversity, collaboration, and leadership style set us apart.

When you join our team, we offer you:

• A hybrid and flexible working model
• A professional development program tailored to your interests and needs
• Private health insurance for you and your family from your first day in the company and life insurance
• Flexible leave days in addition to your statutory leave
• The possibility of remote work from abroad for up to 6 weeks a year
• A free day on your birthday
• Wellness benefits, such as nutrition services and in-company massages.

BASF considers Law N° and Decree N° 73/019 in all its hiring processes. Every qualified candidate who meets the requirements established in the job description will be considered in this hiring process with no distinction.

Moreover, BASF is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, age, civil and social status, national origin, disability, sex, gender identity or expressions, or any other candidate or employee´s characteristic or group that is not related to their aptitude and suitability for the position. Our management is committed to following this policy concerning hiring, placement, promotion, transfer, demotion, layoff, termination, recruiting, pay, and other forms of compensation, training, and general treatment during employment.

Sobre Coderio

Coderio diseña y entrega soluciones digitales escalables para empresas globales. Con una base técnica sólida y una mentalidad orientada al producto, nuestros equipos lideran proyectos de software complejos desde la arquitectura hasta la ejecución.

Valoramos la autonomía, la comunicación clara y la excelencia técnica. Colaboramos estrechamente con equipos y socios internacionales, construyendo tecnología que genera impacto.

Más información:

Buscamos un Data/Cloud Engineer con sólida experiencia en AWS y SageMaker. El candidato ideal será capaz de comprender, diseñar e implementar soluciones cloud nuevas y existentes, proponer mejoras y llevarlas a cabo de forma autónoma y eficiente.

Localización requerida: Esta vacante está abierta exclusivamente para candidatos que residan en Chile. Las postulaciones de personas que no vivan en el país no serán consideradas.

Lo que puedes esperar de este rol (Responsabilidades)

Capacidad para analizar soluciones de ML existentes, identificar oportunidades de mejora y desarrollar e implementar dichas mejoras

Buen entendimiento de arquitecturas serverless y mejores prácticas en la nube

Capacidad para trabajar de forma colaborativa con otros equipos (DevOps, Backend, Seguridad, etc.)

Pensamiento analítico y enfoque en resolución de problemas

Orientación a la eficiencia y comunicación efectiva

Proactividad, investigación

Requisitos

+5 años de experiencia comprobable en desarrollo con SageMaker

+4 años de experiencia comprobable en Python

+4 años de experiencia y manejo fluido de servicios clave de AWS, incluyendo, pero no limitado a: Lambda, DynamoDB, CloudWatch, S3

Dominio de herramientas de versionado: GitHub

Deseables

Experiencia con infraestructura como código (IaC) utilizando herramientas como CloudFormation (preferentemente), CDK o Terraform

Conocimientos de integración continua y despliegue contínuo (CI/CD) en entornos AWS

Familiaridad con prácticas de monitoreo, logging y seguridad en la nube

Beneficios

100% remoto

Compromiso a largo plazo, con autonomía e impacto

Rol estratégico y de alta visibilidad en una cultura de ingeniería moderna

Equipo internacional colaborativo y liderazgo técnico sólido

Plan de carrera y crecimiento dentro de Coderio

¿Por qué unirte a Coderio?

En Coderio valoramos el talento sin importar la ubicación. Somos una empresa remote-first,apasionada por la tecnología, el trabajo colaborativo y la compensación justa. Ofrecemos un entorno inclusivo, desafiante y con oportunidades reales de crecimiento. Si te motiva construir soluciones con impacto, te estamos esperando.

Postula ahora.

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.

We seek a Data Engineer Senior and/or Expert Level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era.

What will help you succeed:

• Fluent English (B2 - Upper Intermediate)
• Cloud
• Spark
  Architectural knowledge

This job can be filled in Montevideo, Uruguay #LI-Hybrid.

Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.

We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide .

We are looking for a skilled and experienced Senior Data Quality Engineer to join our team. In this role, you will play a critical part in ensuring the accuracy, reliability, and efficiency of our data systems and processes at scale. If you are passionate about leading impactful data quality initiatives and working with cutting-edge technologies, this position will allow you to shape the future of our data ecosystem.

Responsibilities

• Lead the development and execution of data quality strategies, ensuring accuracy and reliability across data products and processes
• Drive data quality initiatives while promoting best practices across teams and projects
• Develop and implement advanced testing frameworks and methodologies to meet enterprise data quality standards
• Manage and prioritize complex data quality tasks, ensuring efficiency under tight deadlines and competing priorities
• Design and maintain comprehensive testing strategies for evolving system architectures and data pipelines
• Provide guidance on resource allocation and prioritize testing efforts to align with business and regulatory requirements
• Establish and continuously improve a data quality governance framework to ensure compliance with industry standards
• Build, scale, and optimize automated data quality validation pipelines for production environments
• Collaborate with cross-functional teams to address infrastructure challenges and enhance system performance
• Mentor junior team members and maintain detailed documentation for test strategies, plans, and frameworks

Requirements

• At least 3 years of professional experience in Data Quality Engineering
• Advanced programming skills in Python for data validation and automation
• Expertise in Big Data platforms, including tools from the Hadoop ecosystem such as HDFS, Hive, and Spark, as well as modern streaming platforms like Kafka, Flume, or Kinesis
• Practical experience with NoSQL databases such as Cassandra, MongoDB, or HBase, managing large-scale datasets
• Proficiency in data visualization tools like Tableau, Power BI, or Tibco Spotfire to support analytics and decision-making
• Extensive experience with cloud platforms such as AWS, Azure, or GCP, with a strong understanding of multi-cloud architectures
• Advanced knowledge of relational databases and SQL (PostgreSQL, MSSQL, MySQL, Oracle) in high-volume, real-time environments
• Proven experience in implementing and scaling ETL processes using tools like Talend, Informatica, or similar platforms
• Familiarity with deploying and integrating MDM tools into workflows, as well as performance testing tools like JMeter
• Advanced experience with version control systems such as Git, GitLab, or SVN, and expertise in automation for large-scale systems
• Comprehensive understanding of modern testing frameworks (TDD, DDT, BDT) and their application in data environments
• Experience with CI/CD practices, including pipeline implementation using tools like Jenkins or GitHub Actions
• Strong analytical and problem-solving skills, with the ability to interpret complex datasets into actionable insights
• Exceptional English communication skills (B2 level or higher), with experience engaging stakeholders and leading discussions

Nice to have

• Hands-on experience with additional programming languages like Java, Scala, or advanced Bash scripting for production data solutions
• Advanced knowledge of XPath and its use in data validation and transformation workflows
• Experience designing custom data generation tools and synthetic data techniques for advanced testing scenarios

We offer

• Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
• Paid Holidays - We offer paid time off during all national holidays (working and non-working) for a total of 15 days. On top of that, you will also have vacation days to enjoy quality time with your family or just rest
• Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally
• Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization
• Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
• Community Benefit - You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams
• Are you open to relocation? - If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

We are seeking a highly skilled and motivated Senior Data Scientist with expertise in AI to join our Data&AI team. The ideal candidate will possess a strong background in data science, AI technologies, and advanced analytics combined with a hands on expertise on taking models to production + GenAI solutioning You will work closely with clients to understand their business needs, develop innovative AI solutions, and provide actionable insights that drive strategic decision-making.

Qualifications

Proficient with LLMs (GPT, Claude, LLaMA, Mistral) and RAG pipelines using LangChain/LangGraph

• Experience deploying generative and ML models
• Strong in prompt engineering, embeddings, semantic search, and vector DBs (FAISS, Pinecone)
• Skilled in Python with knowledge of TensorFlow, Keras, scikit-learn, Hugging Face, NumPy, Pandas
• Solid understanding of ML/DL techniques (SVMs, DNNs, Gradient Boosting) and applied statistics
• Proficient in SQL, NoSQL (MongoDB), and data visualization
• MLOps experience with CI/CD, model monitoring, experiment tracking, and Docker-based deployments
• Strong SDLC/project management (Agile, PMP) and collaboration in distributed teams
• Excellent English communication skills

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we're committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.