RoomPriceGenie

Remote (Sr.) Data Engineer (m/f/d)

RoomPriceGenie WorkFromHome

Stellenbeschreibung:

Remote (Sr.) Data Engineer (m/f/d)

About RoomPriceGenie

Founded in 2017, RoomPriceGenie helps hoteliers worldwide achieve optimal pricing. We offer a powerful solution that lets hotels set the right prices in seconds, using a state‑of‑the‑art algorithm that analyzes internal hotel data and market trends. Our customers span the globe—from the USA and Canada to Iceland, South Africa, China, Slovenia, Italy, and the UK. We are expanding our customer base and invite candidates from diverse backgrounds to join our team.

Your Role

We are building the analytics function from the ground up and need a highly capable Data Engineer to design and deliver our end‑to‑end data infrastructure. This foundational role will architect pipelines, schemas, and processes that power data‑driven decision‑making.

  • First data engineer dedicated to analytics, redefining the data pipeline and architecture.
  • Design and own a scalable analytics data architecture, including a data lake, Iceberg tables, and future Snowflake‑based lakehouse.
  • Build and maintain reliable data ingestion and transformation pipelines across product, sales, finance, and third‑party systems using AWS Glue, AppFlow, Fivetran, and dbt.
  • Develop robust data models and schemas that follow best practices and support analytics, BI, and reporting needs.
  • Automate infrastructure and workflows using Python, Terraform, and AWS monitoring tools to ensure scalability, stability, and reproducibility.
  • Document data flows, pipelines, and standards; collaborate with analysts, product managers, and leadership to ensure data is accurate, accessible, and actionable.
  • Continuously identify opportunities to improve data quality, efficiency, and scalability.

Your Profile

  • 4–5 years of professional experience in data engineering, with a proven track record of designing, building, and maintaining reliable data solutions in cloud environments.
  • Based in Europe or within a similar CET timezone.
  • C2‑level proficiency in English.
  • Strong experience with AWS services (S3, Glue, Lambda, AppFlow, Athena, CloudWatch).
  • Hands‑on experience with Snowflake and dbt; solid understanding of modern ELT best practices and layered data architectures.
  • Proficiency in Python and SQL for data ingestion, transformation, and workflow automation.
  • Deep understanding of data architecture principles, including data lakes, lakehouses, and warehouses, as well as schema design and data modeling best practices.
  • Experience with ingestion tooling such as Fivetran or AppFlow for integrating data from diverse sources.
  • Familiarity with Terraform (or other infrastructure‑as‑code tools).
  • Strong documentation and process discipline, capable of creating scalable, maintainable, and repeatable systems.
  • Self‑driven and proactive, able to work autonomously and take end‑to‑end ownership of data solutions.

Nice to Have

  • Based in Greater London (hybrid), with flexibility to meet the team in London once a week.
  • Familiarity with orchestration tools (Dagster, Airflow).
  • Experience working with Iceberg tables.
  • Background in supporting BI tools or analytics teams.
  • Knowledge of data governance, building and maintaining data dictionaries, lineage, and quality frameworks.

What we offer at RoomPriceGenie

  • Remote‑First Model – work flexibly from anywhere; support co‑working and welcome to our offices in Mannheim, Berlin, or Sydney.
  • One Team, One Vision, One Goal – collaborate to make magic happen.
  • Epic Team Gatherings – annual week of networking and fun; regular office hangouts.
  • Growth and Development – lifelong learning opportunities; up to three extra days off each year.
  • 5 Years? 5 Weeks – earn five weeks of bonus vacation after five years.
  • Birthday Celebrations – take your birthday off, guilt‑free.
  • Flexible Hours – balance work and personal life.
  • Wellbeing Matters – access to Headspace and BetterHelp support.

Seniority Level

  • Mid‑Senior level

Employment Type

  • Full‑time

Job Function

  • Information Technology

Industries

  • Software Development

We kindly ask that recruitment agencies refrain from reaching out regarding this vacancy. Thank you for your understanding.

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EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    14 Dez 2025
  • Standort:

    WorkFromHome

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