Job Title: Senior Data Engineer

Company Name: RoomPriceGenie

Job Details: Salary,not,providedAWSPythonDjangoPostgresAirflowTerraformSentryRedshiftNumPyRabbitMQPandasFlaskCelerySnowflakeBigQueryRDSdbtFastAPIDatadogMid,and,Senior,levelBerlinRemote,from,US,,Canada,,Europe,,UK

Job Url: https://app.welcometothejungle.com/jobs/n0Br0hXx

Job Description: Role
Who you are
4+ years of professional Python experience, ideally in data engineering and/or backend systems
Strong experience building and maintaining ETL/ELT pipelines in production environments on modern cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift)
Strong experience in data modeling, including analytics-ready schema design, fact/dimension modeling, and performance optimization, along with data testing and documentation practices that ensure long-term data quality, trust, and maintainability
Experience working with orchestrated data pipelines (e.g., Dagster, Airflow, or similar tools)
Experience building backend or ingestion services using Python web frameworks such as Django, FastAPI, or Flask
Familiarity with background task processing and asynchronous workflows (e.g., Celery or similar systems)
Experience working with cloud infrastructure, preferably AWS (e.g., S3, RDS/Aurora)
Strong understanding of software design principles and data pipeline architecture
Experience working with large datasets using tools such as pandas, polars or NumPy
An analytical mindset with an interest in data quality, KPIs, and data-driven decision-making
Excellent communication skills—you can explain complex technical topics clearly to both technical and non-technical stakeholders
High ownership mentality—you take responsibility for reliability, quality, and long-term maintainability
A collaborative, egoless team player who thrives in cross-functional environments
Fluent in English and comfortable participating in technical discussions
Based in or able to work within the European Time Zone (UTC+0 to UTC+2)
Desirable
Hands-on experience with dbt (modeling, testing, documentation, performance tuning)
Experience with Dagster specifically
Experience with or interest in modernizing legacy data pipelines
Hands-on experience with:
Celery & RabbitMQ
PostgreSQL
Django/FastAPI
Infrastructure as Code (OpenTofu / Terraform)
Datadog and/or Sentry
Experience building data observability and monitoring solutions
Familiarity with product-oriented data teams serving multiple stakeholders
Located near Mannheim, Germany (bonus points!)

What the job involves
As a Senior Data Engineer in the reservations data team, you will play a critical role in transforming raw reservation data from dozens of PMS systems into trusted, scalable, and high-quality KPI insights used across the company
You’ll work on production-grade data pipelines that power booking curves, occupancy rates, pickup analytics, and other core reports relied on daily by multiple teams and customers
You'll design, build, and maintain scalable and reliable data pipelines using our modern data stack (Snowflake, Dagster, and dbt)
Own end-to-end data flows, from ingestion services (Django & Celery) to analytics-ready models in the data warehouse
Contribute to the migration of legacy Django/Celery-based pipelines toward our modern data platform architecture
Collaborate closely with a Product Manager, Data Engineers, and Backend Engineers to prioritize integrations and deliver high-impact data capabilities
Ensure data quality, reliability, and observability through testing, monitoring, and clear documentation
Support multiple internal teams by providing accurate, timely, and well-documented reservation data they can trust
Continuously improve scalability, automation, and operational efficiency as data volume and integrations grow
Take ownership of features and improvements from design to production, including post-deployment monitoring and iteration

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Insights
Glassdoor (5)

Company
Company benefits
Chose to work 100% full remotely, or enjoy our co-working sponsorship.
Team gatherings: Twice a year, we bring the whole global team together for a week of networking, work collaboration and some fun plus
Growth and Development: Every Genie is encouraged to a lifelong learning journey, and we support personal and professional development courses and training. Each year, Genies can get up to 3 extra days off to focus on their development.
Celebrate your Birthday: Genies get the day off so they can celebrate on their terms
Wellbeing: Mental health is essential for us. Every Genie has access to Headspace, the worlds leading meditation app, to practice living a happy, healthier and more rested life
Flexible working hours: To help Genies balance their worklife relations, wherever reasonable and possible, we look to allow you the freedom to fit your work around your life.
1 team - 1 vision - 1 goal: All our Genies are aligned around our vision and goal and collaborate to make this happen – no wonder this gets rated at a 9.3 score on Glassdoor

Funding (last 2 of 7 rounds)

Feb 2025

$75m
GROWTH EQUITY VC

Jul 2023

$0.2m
SEED

Total funding: $79m

Our take

Setting and managing room rates is a constant headache for small and medium-sized hotels. Even slight pricing errors can make the difference between profit and loss, and without expert knowledge, they're often left navigating this crucial aspect of their business blindfolded.
RoomPriceGenie's solution simplifies this process by providing an automated pricing system that leverages data analysis to optimise rates. By analysing data from up to 500 nearby properties, it allows hotel managers, even those without prior experience in price management systems, to make informed decisions and maximise revenue.

Recognising the potential of RoomPriceGenie, BADideas.fund invested heavily in the company, as did Five Elms Capital in 2025 with $75 million in VC funding. These votes of confidence, coupled with the company's global ambitions, arm RoomPriceGenie with the chance to capture a significant market share and revolutionise the way small and medium-sized hotels approach pricing.

Kirsty
Company Specialist at Welcome to the Jungle