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Data Engineer

Data Engineer

AI Engineer - EY GDS

EY

Buenos Aires

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Описание вакансии

Job Description: AI & Data – AI Engineer

  • Location: Buenos Aires - Argentina (Hybrid)
  • Clients: US‑based Enterprise Clients

About The Role
The Senior AI Engineer designs, builds, and ships enterprise-grade AI/ML and LLM-based solutions. This role focuses on hands-on engineering, high-quality delivery, and strong collaboration with cross-functional teams.

Key Responsibilities

  • Design, build, and deploy AI/ML and LLM-based solutions in enterprise environments.
  • Collaborate with cross-functional teams (Data Engineering, Cloud, Product) to deliver scalable AI systems.
  • Ensure high engineering standards, maintainability, and best practices.
  • Participate in code reviews, architecture discussions, and solution design.
  • Support continuous improvement of AI delivery processes and tooling.

Skills & Qualifications
Python & Development

  • Advanced Python (3–6 years);
  • FastAPI;
  • scikit-learn;
  • API design;
  • clean code;
  • Preferred: intermediate SQL, Design patterns (clean architecture/hexagonal); microservices; advanced testing; Docker
  • What we evaluate: Code quality; API design; troubleshooting; software architecture discipline; applied SQL

LLMs, RAG & Agents:

  • End-to-end RAG; LangChain/LangGraph;
  • Vector search (FAISS or similar);
  • Fine-tuning (LoRA/QLoRA);
  • Advanced evaluation (RAGAS/TruLens/DeepEval);
  • Agent design
  • Autogen;
  • Preferred: Llama Index; custom retrievers
  • What we evaluate: Hallucination mitigation; grounding; cost/latency trade-offs; quality

Cloud (Azure or Databricks):

  • Cloud (Azure): Azure OpenAI; Azure AI Search; Azure ML; service integration; AKS/Container Apps; API Management
  • Databricks: Advanced MLflow (registry/tracking/serving); Delta Lake; Unity Catalog; Feature Store; Vector Search
  • Preferred: Workflows/DLT,
  • What we evaluate: Secure & scalable architectures; integration; resilience, Pipelines; governance (Unity Catalog); productivity

MLOps & Delivery:

  • CI/CD (GitHub Actions/Azure DevOps);
  • Docker;
  • AKS/Kubernetes;
  • End-to-end ML pipelines;
  • Basic monitoring (latency, cost, failures)
  • Preferred: AI observability (tracing/telemetry); advanced Bicep/Terraform
  • What we evaluate: Reliability; diagnostics; automation

ML Fundamentals:

  • Classic models;
  • Advanced metrics & trade-offs;
  • When to use classic ML vs. LLMs
  • Preferred: Advanced/ensemble models
  • What we evaluate: Technical judgment; model validation

Communication and other requirements:

  • English: Fluent B2+ technical communication
  • Autonomy in English, Technical clarity;
  • Proactive
  • Good at managing request gathering and handling
  • Proactive communication

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Data Engineer

Data Scientist II

Innovid

Buenos Aires

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Описание вакансии

Innovid is the leading independent omnichannel ad tech platform, empowering marketers to create, deliver, measure, and optimize ad-supported experiences that people love. In 2025, Innovid and Flashtalking merged to create a transparent, scalable alternative to big-tech, walled-gardens, and point solutions across CTV, digital, linear, and social channels. As part of Mediaocean, Innovid is tied into the industry’s core ad infrastructure for omnichannel planning, buying, and billing.

We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.

We are looking for someone who is innovative and likes working in a fast-paced environment, both independently and as part of a multi-disciplined team. You will be working alongside data scientists, analysts, engineers, developers and product managers to deliver data-driven insights and build cutting-edge Artificial Intelligence solutions.

Our team focuses heavily on leveraging modern Generative AI to solve complex business problems in the AdTech space. You will be instrumental in building autonomous Agentic workflows, architecting enterprise-scale RAG/GraphRAG systems, and developing end-to-end Generative AI applications that drive real-world impact. Expect to work on multiple projects across a number of clients, from briefing through delivery.

The Impact You'll Make:

  • Collaborate in high-impact projects from beginning to end, working with autonomy and accountability.
  • Proactively engage in problem-solving, fault-finding, and addressing issues in the data or approaches as they arise.
  • Read research papers and develop/build concepts/ideas into Prototypes or Proof of Concepts (POC).
  • Design, build, and orchestrate complex AI workflows using Agentic frameworks like LangGraph.
  • Develop advanced knowledge retrieval pipelines, including building, evaluating, and optimizing GraphRAG and semantic search systems.
  • Experiment with advanced prompt/context engineering techniques and fine-tune open-source Large Language Models (LLMs) using parameter-efficient techniques (e.g., LoRA, QLoRA) for domain-specific tasks.
  • Implement robust evaluation frameworks (e.g., LLM-as-a-judge, RAGAS, DeepEval) to monitor and ensure the quality, safety, and relevance of Generative AI outputs.
  • Communication (visual, verbal, and written) of findings to a variety of audiences, including colleagues and clients, both technical and non-technical.

What You'll Bring to Us:

  • Degree or advanced training in statistics, mathematics, computer science, or other highly quantitative field or 2-4 years of work experience related to the field
  • Knowledge of advanced statistical and analytical techniques and concepts such as sampling methods, regression, properties of distributions, weighting sample-based data, statistical tests and proper usage, etc. and experience with real-world applications.
  • Working knowledge of data structures, databases, and ETL processes.
  • Applied Machine Learning and Deep Learning experience.
  • Hands-on experience with production ML deployments, including containerization, cloud computing environments, modern data warehousing, workflow orchestration, and infrastructure-as-code.
  • Generative AI experience with an understanding of Agentic Workflows, including practical experience orchestrating stateful, multi-agent applications with LangGraph.
  • Hands-on experience with leading LLM APIs (OpenAI, Anthropic, Gemini) and the Hugging Face ecosystem.
  • Basic understanding of AI model optimization and deployment concepts (e.g., model quantization, vLLM, etc) is a strong plus.
  • Knowledge of working with Coding Assistants to orchestrate several agents.

What We'll Offer You:

    • Unlimited Vacations
      • Monthly Inflation updates
      • Lunch Credit
      • OSDE 410 as medical assurance
      • English lessons
      • Gym coverage
      • Internet coverage
      • 1 extra paid month for primary & secondary birthing caregivers
      • Learning & Development - Tools and Training
      • Hybrid & flexible working model - nice offices in CABA with endless snacks & beverages
      • Pet friendly
      • High visibility roles with a tremendous amount of growth potential
      • Global team and cross-company collaboration unlike anywhere else!

There is no such thing as the perfect resume, or someone that checks every box. At Innovid, we are generous with our time and knowledge, and always ready to teach. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day and add to Innovid.Equal Opportunity Employer: Innovid is an equal opportunity employer, committed to our diversity and inclusiveness. We consider all qualified applicants regardless of race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. We are actively working to be an anti-racist organization. We're committing to creating an inclusive and equitable workplace for all of our employees. You can read more about our commitment to DEI here.If you are located within the EEA and subject to GDPR or are a California resident subject to the California Consumer Privacy Act, click here to understand how Innovid processes your personal information and how you can exercise your rights.

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Data Engineer

Lead Data Engineer (Microsoft Fabric)

Blend

Buenos Aires

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Описание вакансии

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360\.com

We are seeking a
Lead Data Analyst
to contribute to our next level of growth and expansion.

Job Description

What is this position about?

  • Conduct comprehensive gap analysis and data mapping across 80+ ERP systems to identify integration challenges, data inconsistencies, and transformation requirements.
  • Design and develop standardized ETL pipelines and data transformation processes for migrating enterprise data into Microsoft Fabric.
  • Build robust data quality frameworks and validation rules to ensure data readiness for AI and analytics workloads.
  • Lead hands-on implementation of ETL standards and best practices, establishing repeatable patterns and automation scripts for multi-source integrations.
  • Develop and optimize data models that support seamless transformation from fragmented ERP sources into a unified, AI-ready data architecture.
  • Lead the pilot implementation phase, testing and refining standards against real ERP data before full-scale rollout.
  • Mentor and guide team members on ETL development, data transformation techniques, and Fabric-specific engineering practices.
  • Collaborate with stakeholders to document data lineage, transformation logic, and integration patterns for knowledge transfer and governance.
  • Troubleshoot data inconsistencies and implement corrective measures to maintain data integrity throughout the pipeline.

Qualifications

  • Advanced proficiency in SQL for complex data transformations, query optimization, and performance tuning.
  • Strong Python expertise for automation scripting, data pipeline development, and ETL orchestration.
  • Demonstrated hands-on experience in designing and implementing ETL solutions across complex, multi-source environments.
  • Proven experience with enterprise ERP systems and large-scale data integration scenarios.
  • Solid understanding of Azure ecosystem and hands-on experience with Microsoft Fabric for data engineering.
  • Strong knowledge of data modeling principles and ability to design schemas that support AI and analytics use cases.
  • Experience with data quality assessment, validation frameworks, and data profiling techniques.
  • Excellent problem-solving skills with a focus on scalability, maintainability, and performance optimization.
  • Strong communication skills and ability to collaborate with technical and business stakeholders.

What about languages?

English: Advanced (required for effective communication with global teams)

How much experience must I have?

5+ years of experience in Data Engineering with demonstrated expertise in data modeling and ETL development.

Additional Information

Our Perks and Benefits:

📚 Learning Opportunities:

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.

👨🏽‍💻 Travel opportunities to attend industry conferences and meet clients.

👩‍🏫 Mentoring and Development:

  • Career development plans and mentorship programs to help shape your path.

🎁 Celebrations & Support:

  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
  • Company-provided equipment.

⚖️ Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!

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Data Engineer

Semi Senior Data Engineer

IOL Inversiones

Buenos Aires

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Описание вакансии

¡IOLer se busca! 📢
En
IOL Inversiones
queremos brindar acceso a todas las personas al mundo de las inversiones y proteger sus ahorros💰📈. Para lograrlo, queremos sumar personas para el rol de
Semi Senior Data Engineer
al equipo de
DATA
! 💰 📈

Misión:

  • Buscamos un/a Data Engineer Semi Senior que combinen solidez técnica con la capacidad de pararse frente a un stakeholder, entender lo que necesita y traducirlo en una solución de datos bien diseñada. No es un rol de BI ni un rol puramente técnico — es un rol de ingeniería de datos con responsabilidad directa sobre la relación con las áreas de negocio.

🎯
Responsabilidades:

  • Diseño y construcción de pipelines: Diseñar, desarrollar y mantener pipelines de datos batch y streaming sobre Databricks (Delta Lake, Spark Structured Streaming, Delta Live Tables), asegurando idempotencia, resiliencia y trazabilidad.
  • Resolución de errores: Diagnosticar y resolver errores en los Jobs de Databricks y en los pipelines de datos en producción.
  • Calidad de datos: Detectar y corregir problemas de calidad, aplicando controles y buenas prácticas ya definidas por el equipo.
  • Optimización de costos: Identificar oportunidades de optimización de queries, almacenamiento y ejecución de Jobs que impacten el costo de la plataforma.
  • Buenas prácticas y gobernanza: Aplicar y ayudar a sostener los estándares de nomenclatura, documentación y gobierno de datos definidos en Unity Catalog.
  • Diseño de la solución: Diseñar la solución técnica más adecuada para cada requerimiento, con autonomía y, cuando lo necesite, guía de un Senior.
  • Compromiso y seguimiento: Comprometerse con plazos y alcance frente al stakeholder, y hacer seguimiento hasta el cierre — 'somos dueños' de las soluciones que ofrecemos a los clientes.
  • Mejora de procesos: Identificar y proponer mejoras concretas y medibles en los procesos del equipo de Data Management.

🎯
Requisitos:

  • Formación universitaria: Graduado/a o estudiante avanzado/a de Ingeniería, Licenciatura en Sistemas, Ciencias de la Computación, Matemática, Estadística o carrera técnica afín.
  • Experiencia en Data Engineering: Entre 2 y 4 años trabajando en roles de ingeniería o analítica de datos, con participación en pipelines de datos en producción.
  • Databricks: Experiencia concreta con Databricks (Delta Lake, Spark) en un entorno productivo, no solo exploración o cursos.
  • Python y SQL: Buen manejo de Python para procesamiento de datos (PySpark y/o pandas) y de SQL intermedio-avanzado (window functions, modelado dimensional).
  • Cloud: Experiencia en al menos una plataforma cloud (preferentemente Azure) en servicios de datos y almacenamiento.
  • Relacionamiento con stakeholders: Experiencia relevando necesidades de negocio de forma autónoma, sin que el requerimiento le llegue ya definido.
  • Autonomía técnica: Capacidad demostrada de resolver problemas intermedios por cuenta propia, buscando guía solo cuando es necesario.

🎁
Beneficios:

  • Te brindamos Swiss Medical para vos y tu familia.
  • Modalidad de trabajo Hibrida Flexible en nuestras oficinas en Palermo - CABA
  • Clases de inglés o portugués para que puedas aprender un nuevo idioma o reforzar conocimiento.
  • Equipamiento para armar tu espacio de trabajo en casa y reintegro por gastos de Internet.
  • Presupuestos especiales para tu formación y desarrollo profesional + acceso a Campus IOL Academy (¡aprendé a administrar tus ahorros y opera online!).
  • Licencia por adopción de mascotas (1 día).
  • Licencia por maternidad y paternidad extendida para que puedas equilibrar tu vida personal y profesional.
  • IOLer Flex: Podrás trabajar desde el exterior como máximo durante 30 días al año calendario
  • Día de Cumpleaños libre para festejar con tus seres queridos.
  • 20 días de licencia por estudio al año para que puedas continuar aprendiendo.
  • Día por graduación, para celebrar un gran logro.
  • Regalos para ocasiones especiales (graduación, cumpleaños, casamiento, entre otros).
  • Gympass
  • Cuenta bursátil bonificada en www.invertironline.com

Brindar un servicio tiene mucho de brindarnos a nosotros mismos. Por eso, somos
una fintech enfocada en finanzas que se pone 100% al servicio de sus clientes. De los
que ya lo son y de quienes aún no se animan a serlo.
Entendemos ese temor, pero los tiempos cambiaron. La tecnología permitió
democratizar el acceso a la información y a herramientas funcionales para la gestión
del dinero, por lo que el poder está en manos de los usuarios. Y nos enorgullece
pensar que participamos de ese cambio de paradigma.
Es hora de maximizar el valor de tu dinero.

Es hora de invertir los roles.

Es hora de invertironline
🚀

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Security Management - Data Engineer - EY Global Delivery Services

EY

Buenos Aires

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Описание вакансии

Security Management – Data Engineer
Assistant Director
Today’s world is fueled by vast amounts of information, which means that data is even more valuable than ever before. Protecting data and information systems is central to doing business, and therefore everyone in EY Information Security has an important role to play. Join a global team of almost 1200 people who collaborate to support the business of EY by protecting EY and client information assets. Information Security professionals enable EY to work securely and deliver secure products and services, as well as detect and quickly respond when things go wrong. Together, the efforts of our dedicated team help protect the EY brand and build client trust.

Within Information Security we blend risk strategy, digital identity, cyber defense, application security and technology service solutions as we consider the entire security lifecycle. You will join a team of hardworking, security-focused individuals dedicated to supporting, protecting, and enabling the business through secure solutions and information systems.

The Opportunity
As a Security Data Engineer within Security Technology Services (STS), you will join a global team responsible for engineering, integrating and enhancing security data platforms that support EY’s multi-cloud and on-premises environments.

You will develop scalable data ingestion, integration, automation and analytics capabilities that provide centralized visibility across multiple security, and operational technology platforms. Working across Azure, you will use modern cloud-native services and ETL frameworks to onboard, transform, enrich and analyze enterprise data.

The role will also design and support Azure-based data pipelines, automation solutions and reporting capabilities using Azure Data Factory, Azure Databricks, Azure Functions, Logic Apps, and SQL technologies to improve operational efficiency, data quality and decision-making.

You will support the implementation and ongoing management of SaaS applications and enterprise security technologies used by Information Security teams globally. This includes partnering with Security Architects, Service Delivery, Security Operations, Engineering teams and business stakeholders to deliver secure, scalable and data-driven solutions, while providing technical guidance for complex integrations.

Your Key Responsibilities

  • Design build and maintain enterprise-scale ETL/ELT processes and Azure data integration frameworks across multiple cloud environments (primarily Azure) from both security and enterprise tools
  • Build and support data ingestion, orchestration and automation solutions using Azure Data Factory, Azure Functions, Logic Apps and related Azure services.
  • Collect, transform, validate, enrich and analyze data from enterprise systems, cloud platforms, APIs, SaaS applications and third-party technologies.
  • Develop SQL-based data pipelines, database objects, stored procedures, data models, dashboards and reporting solutions for business, compliance and security needs.
  • Partner with cross-functional teams to onboard data sources and deliver scalable integration, automation, reporting and analytics capabilities.
  • Support enterprise data platforms through performance tuning, troubleshooting, monitoring, automation, upgrades, cloud migration, change management and continuous improvement.
  • Maintain technical documentation, architecture diagrams, operational procedures, support runbooks and data flow documentation.
  • Work across multi-cloud environments with Microsoft Azure as the primary platform

The successful candidate will have:

  • Experience with Azure Databricks, data warehousing, data lake architecture and Azure native data platforms for large-scale transformation and analytics.
  • Exposure to Microsoft SQL Server technologies including SSDT, SSRS, SSIS, relational databases, stored procedures and reporting frameworks.
  • Experience developing REST API integrations and consuming web services for enterprise data onboarding and automation.
  • Familiarity with Infrastructure-as-Code, DevOps, CI/CD, cloud automation and deployment automation practices.
  • Experience with, integrating large amounts of security data across multiple cloud environments (primarily Azure) from both security and non-security tools.
  • Experience implementing monitoring and alerting for cloud services, data pipelines, integrations and automation workflows.
  • Knowledge and exposure to Azure AI Foundry/Azure OpenAI a plus.

Skills And Attributes For Success
We are looking for individuals with practical experience working as a Data Engineer in a large Azure global environment with strong knowledge in analytics and reporting

The successful candidate will have:

  • Strong understanding of data engineering principles, including ETL/ELT, data modelling, transformation, lifecycle management, master data management, data warehousing, data lakes and enterprise data architecture.
  • Experience designing scalable, resilient and secure Azure-native data ingestion, integration, automation, analytics and reporting solutions.
  • Hands-on experience with Azure Data Factory, Azure Functions, Logic Apps, Storage Accounts, Azure Key Vault, Azure Monitor, Azure App Services and related integration services.
  • Strong SQL and data analysis experience across relational databases, SQL Server technologies, stored procedures, reporting frameworks and analytics platforms.
  • Ability to work with structured, semi-structured and API-driven data from cloud platforms, SaaS applications, enterprise systems and security technologies.
  • Proficiency in Python, PowerShell or similar scripting languages for automation, cloud operations, data transformation, monitoring and systems integration.
  • Strong understanding of Azure cloud security concepts including identity and access management, secrets management, encryption, authentication, authorization, secure API integration and governance.
  • Experience developing automated workflows that improve efficiency, data quality, compliance monitoring, platform resilience and service reliability.
  • Knowledge of DevOps practices including CI/CD, source control, deployment automation, environment management and release processes.
  • Strong troubleshooting and root cause analysis skills across cloud platforms, databases, APIs, data pipelines, automation workflows and enterprise applications.
  • Experience integrating large amounts of data from various SaaS and OnPrem platforms and tools into centralized platforms for reporting, analytics, governance and decision-making.
  • Ability to collaborate across engineering, infrastructure, operations, security, architecture and business teams to deliver end-to-end technical solutions.
  • Strong communication, stakeholder management and consulting skills, with the ability to translate technical concepts into business value.
  • Continuous improvement mindset with a focus on automation, optimization, operational excellence and emerging cloud technologies.
  • Knowledge and exposure to Azure AI Foundry/Azure OpenAI a plus.
  • Knowledge of creating and maintaining Power BI dashboards/reports.

To Qualify for the Role, You Must Have

  • Detailed knowledge of Azure cloud data engineering, enterprise integrations, data platforms, database technologies, networking fundamentals, API-based architectures and scripting languages.
  • Hands-on experience with Azure Data Factory, SQL development, ETL/ELT frameworks, data integration patterns, cloud automation and enterprise reporting solutions.
  • Experience designing, supporting and troubleshooting enterprise-scale cloud data platforms, integrations and analytics solutions for operational, compliance or security use cases.
  • At least 8 years of experience in Data Engineering,
  • 3+ years of demonstrated engineering experience in large, global and virtual enterprise environments.
  • Strong understanding of Azure cloud technologies, enterprise integrations, and data architecture.
  • Excellent time management, organizational and decision-making skills.
  • Ability to document processes, procedures, architecture designs, data flows and technical solutions clearly for internal teams and customers.
  • Experience working with external vendors and suppliers across technology services.
  • Technical proficiency with APIs, automation frameworks and scripting technologies such as Python, PowerShell, Ansible or similar platforms.

Ideally, You’ll Also Have

  • A bachelor’s degree in computer science, Engineering, Information Technology, Mathematics or a related field, or equivalent work experience.
  • Microsoft Azure or technology certification programs.
  • Experience in project management, service introduction, service readiness, and technology lifecycle management.

What We Look For
This role is ideal for someone with strong problem-solving, analytical, decision-making and communication skills.

We are looking for individuals who work effectively with culturally diverse onshore and offshore teams, navigate ambiguity with confidence and balance security, cloud engineering, data engineering and operational priorities.

Independent thinkers with strong technical foundations, collaborative mindsets and a commitment to automation and continuous improvement will thrive in this role.

What We Offer
As part of this role, you will work in a highly coordinated, globally diverse team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial, and social well-being. Your recruiter can talk to you about the benefits available in your country. Here's a snapshot of what we offer:

  • Continuous learning: You will develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We will provide the tools and flexibility, so you can make a significant impact, your way.
  • Transformative leadership: We will give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: You will be accepted for who you are and empowered to use your voice to help others find theirs.

We ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.

EY is committed to being an inclusive employer, and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world.

Apply now.

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Ещё 8 вакансий по этой категории в этой стране

AI Engineer - EY GDSEY · Argentina

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