Data & ML Engineer

Tenth Revolution Group; Helsinki; On-site; EUR 60,000 - 90,000; Full time

Job summary

Tenth Revolution Group is seeking a Data & ML Engineer to join a growing team building data-driven products for real estate professionals. You will work across the full data lifecycle, from collection to deploying ML models and integrating AI-powered features into production services.

You will develop and maintain production data pipelines with Python, SQL and Airflow, manage cloud infrastructure, and apply IaC with Terraform or AWS CDK.

Qualifications

• 3–4 years of relevant professional experience.
• Strong Python and SQL skills.
• Experience building and maintaining production data pipelines.
• Experience deploying and maintaining machine learning models in production.
• Knowledge of infrastructure as code (Terraform or AWS CDK).
• Experience with CI/CD pipelines and Docker.
• Hands-on with AWS data services (S3, Redshift, Athena).
• Fluent in Finnish.
• Experience in product-focused data-driven environments.

Responsibilities

• Developing and maintaining production data pipelines using Python, SQL and Airflow.
• Managing and improving the databases and cloud infrastructure supporting data products.
• Building and maintaining infrastructure as code using Terraform or AWS CDK.
• Developing CI/CD pipelines and supporting containerised deployments.
• Training, deploying, monitoring and retraining machine learning models in production.
• Working with Azure ML and AWS SageMaker to manage model lifecycles.
• Investigating changes in model performance and ensuring reliable results.
• Developing LLM-based features, including automated area descriptions and analysis of housing company data.
• Building APIs and integrating data and ML capabilities into customer-facing products.

Skills

Python

SQL

Data pipelines

Production ML

CI/CD

Docker

Terraform

AWS

Tools

Airflow

AWS CDK

GitHub Actions

FastAPI

Flask

S3

Redshift

Athena

Lambda

Job description

We’re looking for a Data & ML Engineer to join a growing team developing data-driven products within the real estate sector. The company combines technology, analytics and machine learning to deliver insights into property values, housing markets and residential area trends, with solutions used by professionals across banking, real estate and investment.

This is an opportunity to work in a product-focused environment where data engineering, machine learning and AI come together to build and improve real-world digital services.

The Role

You’ll work across the full data lifecycle, from collecting and processing data to deploying machine learning models and developing new AI-powered features. You’ll collaborate with the team to maintain reliable data pipelines, improve existing models and bring new capabilities into production.

Your responsibilities will include:

• Developing and maintaining production data pipelines using Python, SQL and Airflow.
• Managing and improving the databases and cloud infrastructure supporting data products.
• Building and maintaining infrastructure as code using Terraform or AWS CDK.
• Developing CI/CD pipelines and supporting containerised deployments.
• Training, deploying, monitoring and retraining machine learning models in production.
• Working with Azure ML and AWS SageMaker to manage model lifecycles.
• Investigating changes in model performance and ensuring reliable results.
• Developing LLM-based features, including automated area descriptions and analysis of housing company data.
• Building APIs and integrating data and ML capabilities into customer-facing products.

Requirements

• Around 3–4 years of relevant professional experience.
• Strong Python and SQL skills.
• Experience building and maintaining production data pipelines.
• Experience deploying and maintaining machine learning models in production.
• Knowledge of infrastructure as code, such as Terraform or AWS CDK.
• Experience with CI/CD pipelines and Docker.
• Hands-on experience with AWS data services, such as S3, Redshift and Athena.
• Professional fluency in Finnish.
• Experience working in a product company or developing data-driven products.

Cloud & Infrastructure:

AWS, S3, Redshift, Athena, DynamoDB, Lambda, Terraform, AWS CDK

Development & Deployment:

Docker, GitHub Actions, FastAPI, Flask

What Makes This Opportunity Interesting?

• Work on data products used by professionals across the real estate and financial sectors.
• Combine data engineering, machine learning and AI within one role.
• Contribute to production ML models and new LLM-powered product features.
• Take ownership across the full lifecycle, from data ingestion to deployment.
• Join a product-focused team where your work directly contributes to the development of digital services.