RoomPriceGenie is hiring a Remote Senior Data Engineer (AI/ML) (m/f/d)

RoomPriceGenie is hiring a Remote Senior Data Engineer (AI/ML) to work at the intersection of data, algorithms, and production systems. You will be central to designing the scalable data pipelines that power our optimization engine and forecasting, shipping real-world features from conception to deployment.

What You'll Do

• Design scalable data pipelines and power our optimization engine and forecasting.
• Ship real-world features end-to-end.
• Collaborate with a Product Manager and a team of ML and Backend Engineers.
• Evolve our architecture to seamlessly scale with an increasing number of users, features, and data.
• Partner closely with Product and Design teams, taking full ownership of projects from conception through post-deployment.
• Cultivate a strong engineering organization and vibrant development culture.
• Help evolve our data platform to handle rapidly scaling users, datasets, and feature complexity.

What We're Looking For

• 5+ years of professional Python experience, ideally in data engineering, backend, or ML infrastructure roles.
• Strong experience building and maintaining ETL/ELT pipelines, especially using Dagster.
• Solid experience in dbt: modelling, testing, documentation, and performance optimization.
• Strong working knowledge of Snowflake/Databricks and data warehousing concepts.
• Strong working knowledge of AWS Aurora/RDS (Postgres).
• Familiarity with essential data libraries (pandas/polars, NumPy) and working with large datasets.
• Strong understanding of software design principles.
• Analytical mindset with interest in statistics, optimization, and data-driven problem-solving.
• Excellent communication skills.
• High ownership mentality.
• A true team player, egoless and empathetic, who thrives in a collaborative environment.
• Fluent in English, able to engage in technical discussions with ease.
• Based in the European Time Zone (UTC+0 / UTC+2) to align with our team's schedules.

Nice to Have

• Located near Mannheim, Germany.
• Hands-on experience with MongoDB/DocumentDB, DynamoDB.
• Hands-on experience with Databricks (for GenAI use cases).
• Hands-on experience with Cube.dev.
• Hands-on experience with IaC (OpenTofu/Terraform).
• Hands-on experience with Django/FastAPI.
• Hands-on experience with Celery & RabbitMQ.
• Hands-on experience with DataDog.
• Hands-on experience with Optimization libraries (SciPy, etc.).

Technical Stack

• Languages & Frameworks: Python, Django/FastAPI, Celery
• Data Pipelines & Orchestration: Dagster, dbt
• Data Platforms & Warehousing: Snowflake, Databricks, Cube.dev
• Databases: AWS Aurora/RDS (Postgres), MongoDB/DocumentDB, DynamoDB
• Infrastructure & Tools: OpenTofu/Terraform, RabbitMQ, DataDog
• Libraries: pandas/polars, NumPy, SciPy

Team & Environment

You will collaborate with a Product Manager and a team of ML and Backend Engineers, partnering closely with Product and Design teams. You will serve as an Individual Contributor reporting to the RM Engine Engineering Manager, influencing our data and architectural direction.

Benefits & Compensation

• Hybrid Office Model: choose remote, office, or a mix.
• Epic Team Gatherings: annual global week-long meetup and regular office hangouts.
• Growth and Development: personal and professional development opportunities with up to three extra days off per year for growth.
• 5 Years? 5 Weeks!: After five years, earn five weeks of bonus vacation time.
• Birthday Celebrations: take your birthday off.
• Flexible Hours.
• Wellbeing: access to Headspace meditation app.

Work Mode

This role follows a hybrid model, offering flexibility to work remotely, from the office, or a combination of both.

We believe in transparency, respect, and making a real impact together. We are one team with one vision and one goal. We embrace diversity and encourage applications from diverse backgrounds.