Python jobs in Brazil
Lead Data Engineer – Build ML Data Pipelines Barcelona
Appodeal, Inc.
Formador/a Especialista en IA y Machine Learning (IFCD0063)
Ironhack
Assistant Vice President, European RMBS & Covered Bond Ratings. SecuritizationStructured Financ
Morningstar
Hybrid Data Engineer - Big Data, ETL & Cloud (Python)
Telefónica, S.A.
Modelador BIM Revit MEP - Remoto y Flexible
Sener en Ingeniería
Discover more opportunities than anywhere else. Find more jobs nowIngeniero de Visión por Computador e IA (Edge & DL)
DAVANTIS
Desarrollador IA y Ciberseguridad | Agentes Generativos
KPMG Spain
Connect with headhunters to apply for similar jobsIngeniero IA Generativa | Prompts & LangGraph | Híbrido
Arelance
Ingeniero de Visión por Computador e Inteligencia Artificial
DAVANTIS
Prácticas en Data Science – Remuneradas y Flexible
Schneider Electric
Prácticas en Data Science STP26
Schneider Electric
Consultor/a Data Security
Ernst & Young Advisory Services Sdn Bhd
Arquitecto Senior de IA & LLMOps | Ingeniero de Modelos
ITCL Centro Tecnológico
Modelador/a BIM Revit MEP
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Senior Software Engineer — Hybrid AI/ML Systems
DeepRec.ai
Desarrollador de Sistemas Operativos Embebidos (Linux
RDT
Lead Data Engineer – Build ML Data Pipelines Barcelona
Job summary
A leading product company in mobile app monetization seeks a Lead Data Engineer in Barcelona to enhance and optimize data infrastructure. Responsibilities include leading the ML data platform management, architecting scalable workflows, and mentoring a team of data engineers. Candidates should have over 5 years of experience in data engineering, expertise in Python 3, and familiarity with AWS and data orchestration tools. This role promises continuous learning and is crucial for impactful data operations.
Benefits
Qualifications
- 5+ years of professional experience in data engineering, with at least 2 years in a lead or senior role.
- Solid understanding of machine learning and data analytics principles.
- Basic knowledge of data visualization and BI tools.
Responsibilities
- Lead the management and evolution of our in-house ML data platform.
- Architect, design, and optimize scalable data workflows.
- Drive the development of internal tools to automate data processes.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.