> Markdown version of [/jobs/ext/1557685-cloud-data-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1557685-cloud-data-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Data AI Engineer - **Company:** Openred - **Location:** Rotterdam, Netherlands - **Experience:** Experienced - **Salary:** €3,500.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Database, Cloud Engineering, Information Engineering, Github, Python (Programming Language), Machine Learning, Raw Data, Data Streaming, Management of Software Versions, Working Model 2D, Pulumi, Cloud Platform System, Large Language Models, Apache Spark, Apache Flink, Apache Kafka, Graphql, Machine Learning Operations, Restful APIs, Terraform, Data Pipelines - **Published:** July 15, 2026 - **Apply:** https://www.adzuna.nl/details/5674732220 ## About the Role * 3 to 7 years of experience in data engineering, cloud engineering, or a combined AI/ML engineering role. * Hands-on experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tooling (e.g. Terraform, Pulumi). * Strong proficiency in Python and SQLExperience with modern data stack tooling (e.g. dbt, Airflow, Spark, Beam, or similar orchestration/transformation tools). Familiarity with ML model development and deployment. Bonus if you also bring: * Experience with real-time or streaming data (Kafka, Flink, or similar). * Familiarity with the real estate industry. * Familiarity with geospatial data. * Experience with LLMs and modern AI tooling (LangChain, RAG pipelines, vector databases). * Knowledge of front-end data consumption patterns (REST APIs, GraphQL). * Experience building and maintaining production-grade data pipelines. * Strong at bridging the gap between raw data and business value, translating complex model outputs into reliable, accessible product features. * Experience in B2B, SaaS, or data-intensive product environments. ## Description Design, build, and maintain scalable data pipelines that ingest, transform, and serve real estate data across our platform. Architect and manage our cloud infrastructure (GCP), ensuring reliability, cost-efficiency, and security. Develop and deploy AI/ML models and services, including price prediction, sustainability scoring, and market analytics. Collaborate closely with engineers and data scientists. Take ownership of the data stack end-to-end: from ingestion and storage to transformation, serving, and monitoring. Contribute to building a modern MLOps culture, versioning, experiment tracking, model deployment, and monitoring., * A salary between €3,500 and €6,000, depending on your experience and working hours. * Available for 32+ hours. * Hybrid working model, with 2 office days * Learning and development budget. * A supportive, engaged team with direct communication, a culture of ownership, and annual team adventures (last year we explored Marrakesh). We're committed to building a diverse team and welcome applications from all backgrounds. Different perspectives make our product and our team stronger. We like to keep things simple and transparent. Here's what you can expect: Round 1 - Introduction & mutual fit An informal conversation where we get to know each other. We'll talk about your experience, what excites you, and give you a clear picture of OPENRED and the role. Round 2 - Deep dive & technical discussion A more in-depth session with the team. We'll go deeper into your experience with data pipelines, cloud, and AI/ML. This can include discussing past projects or walking through a practical case. Final step - Offer & alignment If there's a strong match, we'll discuss the employment terms, answer any remaining questions, and align on expectations from both sides. We know not everyone checks every box. If this role excites you, we'd still love to hear from you. Send your CV and, if you like, share some examples of data pipelines, cloud architectures, or AI/ML projects you've worked on. Links to GitHub, a portfolio, or a short write-up all work great. Don't have a polished portfolio? No problem, just tell us what you've been working on and what you're excited about. 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