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Minor Hotels Europe and Americas

Senior Data Engineer

Minor Hotels Europe and Americas

Data Engineer at Capgemini Engineering transforming company operations through high data quality and tooling. Collaborating with various teams to improve merchandising and sales through data solutions.

Posted 5/28/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$62,874 - CA$147,504 per yearWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureGoogle Cloud PlatformHadoopPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Design, document, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
  • Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization.
  • Ensure data quality, consistency, and accuracy.
  • Build scalable data pipelines (SparkSQL, Scala & Python) leveraging Airflow scheduler/executor framework
  • Collaborate with cross-functional teams, including Data Scientists, Product Managers, Operations, Finance & fellow Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
  • Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity.
  • Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

Requirements

What you’ll need
  • 5-8 years of relevant software development industry experience
  • Experience in relational databases (SQL) and Programming (Python).
  • Experience with Big Data technologies (Hadoop, Spark, Trino).
  • Experience with Data Modeling, Data quality, Data governance, Airflow.
  • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions.
  • Experience in designing and deploying high performance systems with reliable monitoring and logging practices.
  • Experience with AWS (Azure/GCP) is preferred.
  • Experience or desire to work collaboratively in cross-functional teams with design, product, data science, and research partners.
  • Ability to effectively communicate with non-technical stakeholders.
  • Bachelor’s degree or equivalent practical experience.

Benefits

Comp & perks
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

ATS Keywords

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Hard Skills & Tools
data pipelinesdata modelingdata qualitydata governanceSparkSQLScalaPythonHadoopSparkTrino
Soft Skills
collaborationcommunicationproblem-solvinganalytical skills
Certifications
Bachelor’s degree