Data Engineer — ML & Cloud in Helsinki (Hybrid)

Tenth Revolution Group; Helsingin seutukunta; Hybrid; EUR 60,000 - 80,000; Full time

Job summary

Tenth Revolution Group in Helsinki is seeking a Data Engineer to help build scalable data-driven real estate products powered by AI, ML, and cloud technologies. You’ll own data flow from source to product across data engineering, MLOps, and cloud infra, delivering models and analytics features that affect business decisions.

You will design and maintain production data pipelines, develop Python/SQL workflows, manage cloud infra with IaC, support ML models in production, monitor and retrain

Qualifications

• 3–5 years of Data Engineering experience.
• Strong Python and SQL skills.
• Experience building and maintaining production data pipelines.
• Hands-on experience with AWS data services.
• Infrastructure as Code experience (Terraform, CDK or similar).
• Experience supporting machine learning models in production.
• Product company experience.

Responsibilities

• Building and maintaining production-scale data pipelines.
• Developing and optimisation data processing workflows using Python and SQL.
• Managing cloud infrastructure through Infrastructure as Code.
• Supporting machine learning models in production environments.
• Monitoring, retraining, deploying, and improving ML solutions.
• Working with modern AI and LLM-powered features.
• Collaborating closely with engineers and product teams to deliver customer-facing solutions.

Skills

Data pipelines

Python

SQL

AWS data services

IaC

MLOps

Production ML

Cross-team collab

Tools

AWS

Terraform

CDK

FastAPI

Flask

Job description

Tenth Revolution Group in Helsinki is seeking a Data Engineer to help build scalable data-driven real estate products powered by AI, ML, and cloud technologies. You’ll own data flow from source to product across data engineering, MLOps, and cloud infra, delivering models and analytics features that affect business decisions.

You will design and maintain production data pipelines, develop Python/SQL workflows, manage cloud infra with IaC, support ML models in production, monitor and retrain