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Data Engineer

Data Engineer

Senior Product Manager (Enterprise)

n8n

Buenos Airessenior

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Role description

The AI orchestration of your wildest imagination.

n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.

Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:

  • Cultivated a community of more than 650,000 active developers and builders
  • Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
  • Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation

That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.

We’re in a defining moment of an incredible journey. Come and build with us.

Your main goal will be to empower n8n enterprise users to treat automation as software, enabling them to develop, deploy, and scale mission-critical workflows with absolute confidence.

To do so, you’ll own product strategy and execution for n8n’s Enterprise team, focused on application lifecycle management, developer tools, and production-grade workflow operations:

WORKFLOW LIFECYCLE MANAGEMENT

  • Define how teams move workflows from development to production with clear environment separation and promotion paths.
  • Shape capabilities for workflow version history, rollback, branching, and conflict resolution.
  • Build product experiences that help engineering teams safely manage changes across mission-critical automations.

ENTERPRISE DEVELOPER EXPERIENCE

  • Own Git-based source control workflows that make n8n fit naturally into modern software development practices.
  • Work closely with Engineering and Design to deliver powerful yet intuitive tools for technical teams.
  • Translate complex developer workflows into product experiences that feel reliable, scalable, and easy to adopt.

PRODUCTION OPERATIONS AND OBSERVABILITY

  • Build visibility into workflow performance, usage, and reliability across environments and instances.
  • Define how enterprise teams manage external secrets, variables, and configuration across deployments.
  • Help customers operate n8n at scale through multi-instance management and cross-instance visibility.

PRODUCT DISCOVERY AND CROSS-FUNCTIONAL LEADERSHIP

  • Deeply engage with enterprise customers, engineering leaders, admins, and developers to understand their software delivery needs.
  • Prioritize ruthlessly across technical depth, usability, enterprise readiness, and long-term platform leverage.
  • Align Engineering, Design, Sales, Solutions Engineering, Customer Success, and leadership through clear strategy, specs, and communication.

REQUIREMENTS

Must-haves

  • Proven product management experience: You’ve shipped complex technical products in enterprise environments and can point to lessons learned that shaped your craft.
  • Strong developer empathy: You understand how engineering teams build, test, version, deploy, and operate software in production.
  • Thrive in ambiguity: You bring structure to fuzzy technical problems and prioritize clearly across many possible directions.
  • Exceptional product sense: You anticipate edge cases, second-order effects, and enterprise-grade reliability needs without needing perfect information.
  • Ownership and bias for action: You fix what’s broken, ship, learn, and iterate rather than over-plan.
  • Influence without authority: You align engineering, design, data, sales, solutions engineering, customer success, and docs through clarity and trust.
  • Technical product judgment: You’re comfortable making tradeoffs across usability, scalability, security, reliability, and implementation complexity.

Nice-to-haves

  • Git and source control experience: You’ve worked on or closely with products involving Git, branching, versioning, pull requests, or conflict resolution.
  • Enterprise security experience: You understand secrets management, environment variables, access control, or secure configuration patterns.
  • Observability experience: You’ve worked on products involving monitoring, usage insights, performance visibility, or operational dashboards.
  • Coding or SQL skills: You can code, write SQL, or go deep enough technically to partner effectively with engineers on architecture-level discussions.
  • Remote work experience: You’re familiar with remote-first work environments and can collaborate effectively across time zones.
  • Entrepreneurial or early-stage experience: You’ve worn many hats and can navigate in many areas at once.

Why join us?

At n8n, your work won’t disappear into a slide deck. You’ll shape how engineering teams build, version, deploy, and operate mission-critical automations at scale — turning n8n into the platform where automation is treated with the same rigor as software. You’ll join a fast-growing, remote-first team with high autonomy, strong technical ambition, and direct visibility into enterprise customer impact.

Sound like a challenge you’re excited to take on?

Apply now — and help us build the future of automation.

n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.

We can sponsor visas to Germany; for any other country, you need to have existing right to work.

Our company language is English.

You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity\-inclusion\-and\-belonging\-n8n\-c1bec2fff536422d868b1a438d990e35).

Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.

Benefits

  • Competitive compensation – We offer fair and attractive pay.

  • Ownership – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.

  • Work/life balance – We work hard but ensure you have time to recharge:

    • Europe: 30 days of vacation, plus public holidays wherever you are.
    • US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
  • Health & wellness –

    • Europe: We provide benefits according to local country norms.*
    • US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
  • Future planning –

    • Europe: We provide pension contributions according to local country norms.*
    • US: 401(k) retirement plan with a 4% employer match.
  • Financial security –

    • Europe: We provide benefits according to local country norms.*
    • US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
  • Career growth – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.

  • A passionate team – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!

  • Remote-first – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.

  • Giving back – We're big fans of open source, and you'll get $100 per month to support projects you care about.

  • AI enablement – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.

  • Transparency – We all know what everyone’s working on, how the company is doing—the whole shebang.

  • Country-specific details are provided in your contract.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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A resume for this role — and a ticket to the draw

We take the posting apart down to the real requirements and rewrite your resume against it — by asking, not inventing: no line appears without your confirmation. Sign in to get it first, and to enter the draw.

  • A resume for this exact role, not a universal one
  • Answers are kept: edit any one, not the whole conversation
  • All in your account — open it from any device

On the wheel

A discount on mentoring

Winners are drawn at random among entries with a confirmed email. The date and the full rules are on the draw page.

Draw rules

Data Engineer

Data Engineer

Max Capital

Buenos Aires

Apply on the employer's site

Role description

En Max Capital queremos que nuestra organización tenga los datos en el centro de su estrategia. Para eso necesitamos
Data Engineers
que puedan manejar grandes volúmenes de datos, construir una arquitectura de datos de forma completa y escalable; y colaborar junto a los equipos de Ingeniería de software en los flujos para la creación de modelos que permitan generar recomendaciones, detectar fraude, determinar scoring de créditos, automatizar procesos, y en general, marcar el rumbo de la estrategia mediante datos!

Que vas a hacer

  • Evolucionar nuestra Arquitectura de Datos (Ingesta batch y Real Time, Data Lake, Data Warehouse, Data Science Workflows, etc.) cumpliendo con la demanda en un proceso iterativo e incremental.
  • Desarrollar y mantener conectores mediante MCP (Model Context Protocol) para integrar fuentes de datos con nuestro bot de IA.
  • Interactuar con áreas comerciales, áreas operativas, y data scientists interpretando problemas, y generando soluciones en distintos equipos multidisciplinarios.
  • Identificar diferentes opciones de ingesta, transferencia, merge y compresión de datos.
  • Orquestación de cargas de trabajo usando pipelines.
  • Interactuar con los equipos de ingeniería al momento de desplegar, monitorear y mantener los modelos en producción.
  • Investigar y divulgar el “estado del arte” en tecnologías de Big Data aplicados en la industria.
  • Establecer las mejores prácticas de desarrollo de software a fin de asegurar procesos eficientes y automatizados.
  • Asegurar la escalabilidad, calidad y flexibilidad, de manera que se pueda garantizar un rápido crecimiento.

Requisitos

Requisitos del puesto

  • Graduados de las carreras de Ingeniería en Sistemas, Ciencias de la Computación o afines.
  • Experiencia en manejo de Bases de Datos.
  • Experiencia en implementaciones de bases de datos relacionales y Data Warehouse.
  • Desarrollo en Python, SQL
  • Conocimiento intermedio del idioma inglés.

Conocimiento valorados

  • Experiencia en desarrollo y tuning de data pipelines. Airflow
  • Experiencia con tecnologías como DBT, Power BI y Apache Superset, Kubernetes, Docker.
  • Desarrollo en Spark
  • Experiencia con Big Data

Somos una compañía líder en asesoramiento financiero, que combina experiencia con energía joven e innovación. Brindamos servicios de Sales & Trading, Mercado de Capitales y Gestión Patrimonial tanto para clientes institucionales y corporativos, como para individuos. Operamos en todos los Mercados relevantes (ByMA, A3 Mercados y MAV) como ALyC y como AN Integral registrado bajo el N° 570 de la Comisión Nacional de Valores. Confiamos en lo que hacemos, en cómo lo hacemos y en quienes lo llevamos a cabo las personas son nuestro principal capital. Contamos con +150 colaboradores de alta formación y capacidad técnica, en nuestras oficinas en Buenos Aires, Mendoza y Montevideo. Nuestro negocio está basado en un principio fundamental poner los intereses de nuestros clientes primero.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Data Scientist

Grupo Petersen

Buenos Aires

Apply on the employer's site

Role description

Si te interesa ser parte de desafíos donde los datos y la IA generan valor real, ¡queremos conocerte!
Buscamos
Data Scientist
para diseñar, desarrollar y validar modelos analíticos y soluciones de Inteligencia Artificial que nos permitan transformar grandes volúmenes de datos en información de valor y contribuir a mejores decisiones de negocio.

¿Cuáles serán los desafíos del rol?

  • Diseñar, desarrollar y desplegar soluciones de Inteligencia Artificial Generativa, incluyendo arquitecturas RAG (Retrieval-Augmented Generation) y sistemas basados en agentes (AI Agents).
  • Diseñar y desarrollar modelos de Machine Learning clásico y Analítica Avanzada (clasificación, regresión, clustering, series de tiempo).
  • Evaluar, optimizar y realizar fine-tuning o prompt engineering sobre Modelos Fundacionales (LLMs) para adaptarlos a casos de uso específicos del negocio.
  • Analizar datos de distintas fuentes y preparar datasets complejos (estructurados y no estructurados, como texto o documentos) para el entrenamiento y validación de modelos.
  • Validar hipótesis y evaluar el rendimiento de modelos utilizando metodologías tradicionales y nuevas métricas específicas para LLMs (mitigación de alucinaciones, coherencia, etc.).
  • Trabajar junto a Ingeniería de Datos, DataOps/MLOps y áreas de negocio para productivizar, escalar y monitorear soluciones analíticas e inteligentes.
  • Interpretar métricas técnicas y traducir los resultados en insights accionables y comprensibles para áreas no técnicas.
  • Documentar metodologías, flujos de orquestación de IA, supuestos y resultados para asegurar la trazabilidad.
  • Asegurar el cumplimiento de políticas internas, normativa de privacidad de datos, seguridad de la información (clave al usar APIs externas de IA) y estándares PLAFyT.

Requisitos

¿Qué buscamos?

  • Experiencia sólida Mínimo de 3 años trabajando en Data Science, Machine Learning o Analítica Avanzada, con experiencia reciente comprobable en proyectos de IA Generativa.
  • Stack Tecnológico Core Dominio avanzado de Python y SQL.
  • Agentes y RAG Conocimiento comprobable en la construcción de pipelines RAG avanzados y desarrollo de Agentes de IA autónomos/semi-autónomos.
  • Machine Learning Clásico Sólidos conocimientos de estadística, modelado predictivo y uso de librerías/frameworks tradicionales (Scikit-learn, XGBoost, TensorFlow, PyTorch).
  • MLOps y LLMOps Conocimientos del ciclo de vida de los modelos, desde la experimentación hasta el despliegue y monitoreo en producción.
  • Ecosistema GenAI Deseable experiencia práctica trabajando con LLMs (OpenAI, Anthropic, Llama, etc.), frameworks de orquestación (LangChain, LlamaIndex, etc.) y bases de datos vectoriales (Pinecone, ChromaDB, Qdrant o similares).
  • Habilidades blandas Excelente capacidad para interpretar resultados, comunicar ideas complejas a interlocutores de negocio y trabajar colaborativamente.
  • Formación Académica en Ciencia de Datos, Estadística, Matemática, Ingeniería, Sistemas, Informática o carreras afines.

Beneficios

¿Qué ofrecemos?

  • Formar parte un grupo financiero que tiene como propósito agilizar el crecimiento para el desarrollo regional.
  • Excelentes condiciones de contratación bajo convenio bancario
  • Modalidad esquema híbrido full time – CABA (zona Teatro Colón)
  • Cobertura de medicina prepaga para vos y tu familia.
  • Plataforma de bienestar - Wellhub, Club de Beneficios , Beneficio de guardería.
  • Importantes descuentos en instituciones educativas para para vos y tu familia.
  • Formación constante para la posición y para el desarrollo profesional.
  • Bonificaciones en productos bancarios.
  • Posibilidad de ser parte de programas de voluntariado corporativo con foco en la transformación para la excelencia cultural y educativa.

Somos
Grupo Petersen
, uno de los grupos económicos más importantes de Argentina, con más de un siglo de trayectoria y presencia en todas las regiones del país. Nuestra visión es contribuir al desarrollo nacional potenciando los recursos estratégicos y el talento de nuestras comunidades, bajo valores de excelencia, confiabilidad, solidez y transparencia.

Nuestras unidades de negocio líderes incluyen

Banca Regional
Banco San Juan, Banco Santa Cruz, Banco Santa Fe y Banco Entre Ríos.

Fintech y Tecnología
ASJ TEC y PlusPagos.

Seguros
Qualia.

Ingeniería y Construcción
Petersen, Thiele & Cruz.

Minería y Energía
Unidad Minera Grupo Petersen, socio estratégico del ecosistema minero argentino.

Mercado de Capitales
Crear SGR.

Agronegocios
Santa Sylvia y Bodega Xumek.

Innovación
Centro de formación e innovación financiera i3.

A través de nuestras
Fundaciones
, impulsamos la excelencia educativa y el crecimiento social en cada región donde operamos, reafirmando nuestro compromiso con el futuro y el desarrollo productivo del país.

¡Te invitamos a formar parte de nuestro equipo!

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

TTT - Data Engineer - EY Global Delivery Services

EY

Buenos Aires

Apply on the employer's site

Role description

EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.

Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.

GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.

EY is currently seeking a
Data Engineer - Senior
to join our Tax Technology practice.

Key Responsibilities

  • Strong database programming/ backend development experience using SQL Server/Azure SQL, writing complex queries, stored procedures, views, triggers, cursors, UDFs.
  • Strong knowledge in data modeling and Datawarehouse concepts.
  • Experience on Azure Data Factory or any other ETL
  • Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries
  • Experience on Azure data platform offerings.
  • Interacts with application developers from various core systems to address changes in those systems and their impact on existing SQL databases
  • Defines data solutions for business problems by working directly with project managers, seniors and clients
  • Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions

Qualification & Experience Required

  • 1-2 Year(s) with Microsoft Fabric
  • Python, PySpark, or Spark SQL experience
  • CI/CD (Git integration + deployment pipelines)
  • Lakehouse and Warehouse experience
  • Strong verbal and written communications skills
  • Ability to work as an individual contributor.
  • 4+ years of experience on SQL DB/Server including building SQL Database, database designing and data modelling, SQL server experience with SSIS, Any ETL experience.
  • Experience on Azure Data Factory / SSIS and any other ETL tools.
  • Experience with Microsoft visual analytics tools (Power BI) and Analysis Services.

Nice to have:

  • Multi-tenant architecture design & concurrent processing experience
  • Experience with Agentic Coding & building new agents

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Solution Manager Data

Agnostic IT

Buenos Aires

Apply on the employer's site

Role description

Sobre nosotros:
En Agnostic estamos buscando un Solution Manager de nuestra area de Data.

¿Qué esperamos de vos?

Complementar la preventa desde el aspecto técnico. Esto consiste en realizar un relevamiento de requisitos y así poder elaborar una propuesta comercial.

Mantener una relación activa con los vendors de su unidad de negocio y conocer en profundidad las tecnologías que estos venden. Esto implica capacitarse en los pilares tecnológicos.

Asegurar la correcta implementación del modelo de trabajo, que este se ajuste a lo definido en la propuesta comercial con la finalidad de asegurar el cumplimiento de los entregables del proyecto.

Ejecutar el proceso de satisfacción el cliente a través de reuniones con los líderes técnicos y recursos para la entrega de informes

Conocer en detalle el contrato acordado con el cliente (Alcance, entregables, riesgos, KPI, SLA)

Monitoreo de los proyectos en curso.

Requisitos:

  • Experiencia en preventa de data.

  • Experiencia liderando proyectos de Gobierno de Datos.

  • Conocimiento en algunas de las siguientes herramientas: Alation, Cloudera, Snowflake, Databricks. (Excluyente)

Modalidad: Hibrida (dos veces por semana en las oficinas de Parque Patricios)

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

33 more openings in this category and country

Senior Product Manager (Enterprise)n8n · Argentina

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