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Senior Full-Stack Engineer – AI Data Platform
The Senior Full-Stack Engineer will lead the architecture and development of the SCRIBE platform, an AI-assisted digitization tool. The role involves designing scalable backend services and web interfaces while collaborating with ML researchers.
Founding Backend Engineer
Founding backend engineer at a VC-backed AI startup building renewable energy intelligence, working day-to-day on Python/TypeScript backend, data pipelines, and enterprise-grade APIs on GCP with Postgres.
MLOps & ML Engineer | Vertex AI, Big Data, Hybrid Madrid
MLOps/ML Engineer taking models from experimentation to production using GCP Vertex AI, Python, BigQuery, and data pipelines in a hybrid role in Madrid.
Data & AI Software Engineer (m/f/d)
Build and operate data pipelines for analytics and ML, optimize data engineering solutions, and ensure data quality—working with cloud/containerization tech (ideally Azure, Kubernetes, Spark) and programming languages like Python, Scala, or Java.
Data & AI Platform Engineer Intern Job Details | Boston Scientific
Intern on the EMEA Commercial IT team building and operationalizing scalable data pipelines and AI/GenAI solutions on the company's data platform using Python, SQL, and cloud services.
Data & AI Engineer (Junior) - SerdatIA
The Junior Data & AI Engineer will design and build scalable data pipelines and generative AI solutions using cloud architectures, Big Data processing, and LLM frameworks. The role involves working with Python, Java, or Scala to develop ETL processes and integrate AI models into production environments.
Data & AI Software Engineer: Cloud, Pipelines & ML
The Data & AI Software Engineer will build and operate scalable cloud-based data pipelines for analytics and machine learning. The role involves collaborating with cross-functional teams using Python, Scala, Java, SQL, and Spark in an agile environment.
Senior Data Engineer
Senior Data Engineer building real-time and batch data pipelines for a programmatic advertising platform, using Python, SQL, Kafka, and cloud data warehouses (BigQuery/ClickHouse) on AWS/GCP.
DATA ENGINEER
The Data Engineer will design and maintain data pipelines, manage databases, and deploy machine learning models using GCP, Python, and SQL. The role requires a hybrid presence in San Sebastián de los Reyes and involves working within Agile teams on data-intensive and AI-driven projects.
(Senior) Java Developer (Securities Trading)
Senior Java Developer designing and coding a securities trading system for a Hong Kong-licensed internet broker, working with Java, Spring Cloud, MySQL, Redis, and distributed systems.
Cloud Security Consultant (AWS)
Assess AWS cloud environments for security risks, automate security checks, and remediate vulnerabilities using AWS-native tools and scripting.
Master Software Developer ( AI Generative)
Design, build, and scale production-grade Generative AI and Agentic AI applications for enterprise clients using Python, LLMs, RAG, agent frameworks (LangChain, etc.), Docker, and Kubernetes in a non-remote role in Brazil.
Data engineer (H/F)
Builds and optimizes scalable data pipelines and real-time processing systems for a logistics company’s growing international platform, ensuring data quality and reliability while collaborating with cross-functional teams.
Data Engineer — Real-Time Pipelines & Data Lake
Build and scale a modern data platform with real-time pipelines, Data Lake/NoSQL environments, and Big Data processing solutions for an international logistics group, collaborating with Data, Product, IT, and ML teams.
Senior Data Engineer — Hybrid | Snowflake, Airflow & CI/CD
The Senior Data Engineer will design and implement complex data pipelines using Snowflake, Airflow, and Azure to support analytics and AI/ML initiatives. This hybrid role involves collaborating with cross-functional teams to ensure data quality and scalable reporting solutions.
Full-Stack Engineer: Cloud Data Pipelines & APIs
Full-Stack Engineer building and scaling a data-driven forecasting platform, focusing on Python-based backend services, APIs, and cloud data pipelines.