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Python & Kubernetes Data AI Platform Engineer
Builds and deploys open-source data and AI platforms using Python, Kubernetes, Kubeflow, and MLFlow for cloud and on-prem environments.
Python & Kubernetes Data Platform Engineer
Builds and maintains open-source data platforms using Python and Kubernetes, focusing on analytics tools like Kubeflow and MLFlow for cloud and on-prem deployments.
Senior Data Platform Engineer (Databricks)
Build and optimize Databricks-based data platforms and pipelines for Fortune 1000 clients, leveraging Spark, Delta Lake, and multi-cloud (AWS/Azure/GCP) to deliver scalable analytics and insights.
Senior Data Engineer (f/m/d)
Senior Data Engineer builds and governs scalable data pipelines on Databricks/Azure, enabling AI and analytics across Axpo’s climate-tech platform.
Senior Data Engineer - Databricks (m/f/*)
Build and optimize scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog to power analytics and ML workflows for enterprise clients.
Data Engineer (m/f/d)
Build and maintain data pipelines, clean and provision data, and develop ML algorithms using Python, SQL, Spark, and Kafka to extract business insights.
Data Engineer - Marketing & Communication Domain
Build and maintain large-scale data pipelines for a top European loyalty app, enabling AI-driven customer segmentation and personalized marketing campaigns.
Data Engineer (m/f/d)
Build and maintain scalable data pipelines and ML algorithms using Python, Spark, Kafka, and SQL to deliver business insights and drive digital transformation.
Spark Data Engineer
Build end-to-end data pipelines and modern data architectures (Data Lakehouse, Data Mesh) using Spark, Python/Scala, Airflow, and cloud platforms (AWS/Azure/GCP) to turn raw data into scalable analytics and insights.
Data Engineer
Build and run the AIOps platform that keeps AI models, LLM pipelines, and agents reliable, scalable, and cost-efficient in AWS/Azure.
Data engineer
Build and maintain robust ETL/ELT pipelines, cloud data warehouses/lakes, and curated datasets for BI and AI initiatives using Snowflake, Azure, or AWS.
Data Engineer
Build and improve Veeva Link’s data pipelines and cloud-based data platform using Java/Python, Spark, and cloud services to power life-sciences expert matching and clinical-trial outreach.
Remote Azure ML Ops Engineer (Spain) – Applied ML & DevOps
Senior ML engineer designs and optimizes Azure-based ML models, pipelines, and data workflows using Python, PySpark, Databricks, MLflow, and Azure ML, with CI/CD and model evaluation.
DevOps/MLOps Engineer (RE3)
Build and maintain CI/CD, MLOps, and observability pipelines for AI services at a leading European supercomputing center, collaborating with AI engineers and platform teams.
Devops Engineer (AWS) - Barcelona - 6 months - Autónomo
Contract DevOps Engineer builds and maintains AWS-based CI/CD pipelines, Kubernetes clusters, and observability for a global SaaS platform using ArgoCD, GitHub Actions, and Splunk.
Devops AI Engineer
Build and run the cloud platform that powers the company’s AI services on AWS and Kubernetes, automating deployments with Terraform and CI/CD while supporting MLOps workflows like SageMaker, MLflow, Airflow and Kubeflow.
Backend Developer
Build and deploy AI-driven data analytics and generative AI solutions on Azure and GCP, including MLOps pipelines and agentic AI workflows.
Staff Software Engineer - Back End (Bangkok based, Relocation provided)
Build and maintain high-scale back-end systems for a global travel booking platform using Scala/Kotlin, Kafka, Spark, and modern CI/CD pipelines.
Data Science / ML Engineer
Build and deploy ML models and MLOps pipelines using Python, TensorFlow/PyTorch, and cloud platforms like Azure Databricks for real-time, event-driven data solutions across industries.
ML Engineer – Flexible Work, Energy Data Platform
Build and maintain ML models for an energy-data platform that collects sensor and consumption data from buildings to help owners cut costs and emissions.