Cloud Data AI Engineer

Openred
Rotterdam, Netherlands
28 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Experience level
Experienced
Experience required
3 years minimum
Compensation
€3,500.0
Working hours
Regular working hours
Job source

Tech stack

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)
+16 more
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

Job 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. Deze baan Landelijk gemiddeld IT ICT vacatures gemiddeld Zuid-Holland gemiddeld Cloud architect

Requirements

  • 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.

About the company

OPENRED is building technology that helps tackle one of today’s biggest challenges: the housing shortage. We believe better data leads to better decisions, and that better decisions lead to more accessible, sustainable, and well-planned housing.

As a member of our engineering team, the systems you design will directly influence how housing projects are evaluated and developed. From price predictions to sustainability insights, your work becomes part of real-world decisions made by developers, municipalities, and investors.

You’ll be part of a multidisciplinary team of engineers, data scientists, and product thinkers, working closely together to turn complex data into reliable products. Our team brings together different backgrounds, nationalities, and perspectives, and we value clear thinking, ownership, and collaboration over ego.

You’ll be responsible for designing, building, and maintaining the data and AI infrastructure that powers OPENRED’s platform. This isn’t about managing static data warehouses; it’s about engineering living systems where real estate market data, sustainability scores, price predictions, and social analytics flow reliably from source to product, at scale and in near real-time.

We’re in an exciting phase of our technical evolution, transitioning from a low-code environment to a modern, scalable stack. You’ll play a central role in shaping that foundation together with the team - from cloud architecture and data pipelines to the AI models that drive our core features. You’ll have the space to take initiative and help define how data and AI engineering are practiced at OPENRED.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.nl

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:55 min

Contrasting Terraform with Pulumi and cloud-specific tools

Devlin Duldulao · LIVE

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · WWC 2023

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:20 min

Overview of infrastructure as code tools

Alexander Bubeck · WWC 2023

1:59 min

Evolving roles in AI driven software teams

Ignacio Riesgo Ignacio Riesgo +1 · WWC 2024

Videos

See all

Related articles

See all