Remote Associate Data Engineering Manager

About RoomPriceGenie ✨🧞‍♂️

Founded in 2017, RoomPriceGenie helps hoteliers globally achieve optimal pricing. We provide a powerful solution that enables hotels to set the right prices in seconds, using a state-of-the-art algorithm that analyzes internal hotel data and market trends to enhance revenue and booking rates.

With a global customer base and recognition as a Best Place to Work in Hotel Tech (2026) and Best Revenue Management Software (2026), we operate at real scale, powering pricing for thousands of hotels worldwide on a modern data stack (Snowflake, Databricks, Dagster, dbt, AWS). We offer engineers real ownership and autonomy. This role is fully remote within Europe, allowing you to disrupt a traditional industry and make a tangible impact.

Your Role as a Remote Associate Data Engineering Manager

As a Remote Associate Data Engineering Manager for the newly formed Market Data team, you will build and shape a foundational capability within RoomPriceGenie. This team will centralize and professionalize the acquisition, structuring, and scaling of external data sources across the organization. This is a hands-on leadership role for someone with management experience eager to grow their craft, remaining technical while driving clarity and excellence. You will partner with Product and senior engineering leadership to define the roadmap, establish technical foundations, and foster a high-performing team culture.

Your Responsibilities

• Build, lead, and develop a team of backend and data engineers through 1:1s, feedback, and mentorship.
• Create a strong team identity, ownership mindset, and high-performance culture from day one.
• Hire and onboard new engineers as the team scales.
• Drive the design of scalable, maintainable, and cost-efficient data acquisition and transformation systems.
• Establish strong engineering best practices in system design, testing, observability, and documentation.
• Improve and modernize existing data workflows, turning ad-hoc initiatives into structured, production-grade systems.
• Ensure the team builds with long-term scalability and reliability.
• Act as a reference point for data engineering best practices across all teams.
• Collaborate closely with other Engineering Managers for alignment and shared standards.
• Contribute to architectural decisions impacting company-wide data strategy.
• Promote a culture of data quality, clear ownership, and measurable outcomes.
• Stay technically involved through code reviews, architectural discussions, and occasional coding.
• Support engineers in solving complex system design challenges.

Your Profile

• Experience leading engineers in a technical or team lead capacity.
• Strong coaching mindset, enjoying growing people and systems.
• Comfortable building structure in new or evolving environments.
• High ownership mentality, balancing autonomy and accountability.
• Solid experience as a Software or Data Engineer with production system ownership.
• Strong experience in Python (4+ years).
• Experience building and maintaining production-grade ETL/ELT pipelines in modern cloud data warehouses (e.g., Snowflake, BigQuery, Databricks, Redshift).
• Strong data modeling skills (analytics-ready schemas, performance optimization, testing, documentation).
• Experience with orchestrated data pipelines (e.g., Dagster, Airflow).
• Strong system design and architecture skills with a focus on scalability and maintainability.
• Analytical and structured thinker with a strong focus on long-term architecture.
• Comfortable operating in ambiguity and turning it into clarity.
• Pragmatic but quality-driven, collaborative, and low-ego.
• Fluent in English and based in the European time zone (UTC+0 / UTC+2).

Nice to Have

• Experience running regular 1:1s and supporting performance conversations.
• Previous formal people management experience.
• Experience building or restructuring data platforms from scratch.
• Experience scaling engineering teams in a high-growth environment.
• Hands-on experience with dbt (modeling, testing, documentation).
• Experience modernizing legacy data pipelines.
• Familiarity with Django or FastAPI ecosystems.
• Experience with observability and monitoring tools (e.g., Datadog, Sentry).
• Experience working with distributed task queues (e.g., Celery & RabbitMQ).
• Strong understanding of cost-aware architecture in data-intensive systems.

What we offer at RoomPriceGenie 💪

Join RoomPriceGenie for an adventure in a startup atmosphere, growing your career while impacting independent hoteliers globally. Our diverse team thrives on transparency, respect, and making a real impact. We offer:

• Remote-First Model: Work flexibly from anywhere in Europe. Offices in Mannheim, Berlin, or Sydney are also available.
• One Team, One Vision, One Goal: Collaborate with a mission-focused team, boasting a 9.3 team member score.
• Epic Team Gatherings: Annual global team gatherings for networking, brainstorming, and fun, plus regular office hangouts.
• Growth and Development: Lifelong learning opportunities with personal and professional development, including up to three extra days off for growth.
• 5 Years? 5 Weeks!: After five years, earn five weeks of bonus vacation time.
• Birthday Celebrations: Take your birthday off, guilt-free.
• Flexible Hours: Balance work and personal life seamlessly.
• Wellbeing Matters: Access to Headspace for mental health support.
• BetterHelp Support: Professional online therapy and counseling platform.

Key skills/competency

• Data Engineering
• Python Programming
• ETL/ELT Pipelines
• Cloud Data Warehouses (Snowflake, Databricks, AWS)
• Data Modeling
• Team Leadership
• System Design
• Data Architecture
• Orchestration (Dagster, Airflow)
• Mentorship