Data/ML Engineer

Tenth Revolution Group; Helsingin seutukunta; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Private healthcare

Wellbeing package

Lunch & sports benefits

Job summary

Tenth Revolution Group in Finland is seeking a Data/Machine Learning Engineer to join a small, autonomous team building AI-driven products for real-world decision making. You will own data pipelines, manage cloud infra, train and deploy ML models across AWS/Azure, and collaborate closely with engineers in a product-focused environment.

The role offers exposure to large-scale data platforms and a modern stack with Airflow, Terraform, Docker, and CI/CD, plus health benefits and lunch and sports

Qualifications

• Strong Python and SQL skills.
• Experience building production data pipelines.
• AWS experience (S3, Redshift, Athena or similar).
• Knowledge of Infrastructure as Code and CI/CD practices.
• Experience maintaining ML models in production.
• Modern stack including AWS, Azure, GCP, Airflow, Docker and Terraform.
• Private healthcare, wellbeing package, lunch & sports benefits.
• Opportunity to influence technology choices and product direction.

Responsibilities

• Build and maintain production data pipelines using Python, SQL and Airflow.
• Manage cloud infrastructure through Terraform/CDK and CI/CD pipelines.
• Train, deploy and monitor ML models across AWS and Azure.
• Develop AI and LLM-powered features for customer-facing products.
• Own the full data lifecycle from source systems to end-user products.
• Work closely with engineers in a product-focused environment.

Skills

Python

SQL

ML production

Data pipelines

CI/CD

Tools

Airflow

Terraform

CDK

Docker

Cloud platforms

Job description

Data/Machine Learning Engineer Opportunity - Market-Leading Nordic Digital Platform

We're working with a growing Finnish product company that develops data and analytics solutions used by major organisations in real estate, banking and investment. They're looking for a Data Engineer to join a small, highly autonomous team building AI-driven products that support real-world decision making.

Responsibilities

• Build and maintain production data pipelines using Python, SQL and Airflow
• Manage cloud infrastructure through Terraform/CDK and CI/CD pipelines
• Train, deploy and monitor ML models across AWS and Azure
• Develop AI and LLM-powered features for customer-facing products
• Own the full data lifecycle from source systems to end-user products
• Work closely with engineers in a product-focused environment

Requirements

• Strong Python and SQL skills
• Experience building and supporting production data pipelines
• AWS experience (S3, Redshift, Athena or similar)
• Knowledge of Infrastructure as Code and CI/CD practices
• Experience maintaining ML models in production environments
• Modern stack including AWS, Azure, GCP, Airflow, Docker and Terraform
• Work on AI, ML and high-volume data products
• Strong learning and certification opportunities
• Private healthcare, wellbeing package, lunch & sports benefits
• Opportunity to influence technology choices and product direction
• Join a company whose digital services are used by millions of people