Senior Data Engineer

Minor Hotels Europe and Americas

full-time

Posted on: 1/30/2026

Location Type: Hybrid

Location: New York City • New York • United States

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About the role

Contribute to the migration of legacy data warehouse to a google cloud-based data warehouse
Collaborate with Data Product Managers, Data Architects to design, implement, and deliver successful data solutions
Help architect data pipelines for the underlying data warehouse and data marts
Design and develop very complex ETL pipelines in Google cloud Data environments.
Maintain detailed documentation of your work and changes to support data quality and data governance
Support QA and UAT data testing activities
Support Deployment activities to higher environments
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

4 to 8+ years of data engineering experience developing large data pipelines in very complex environments
Very Strong SQL skills and ability to build Very complex transformation data pipelines using custom ETL framework in Google BigQuery environment
Exposure to Teradata and ability to understand complex Teradata BTEQ scripts
String Python programming skills
Strong Skills on build Airflow Jobs and Debug issues
Ability to Optimize the Query in BigQuery
Hands-on experience on Google Cloud data Technologies (GCS , BigQuery, Dataflow, Pub sub, Data Fusion , Cloud Function)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLETLPythonAirflowBigQueryDataflowPub/SubData FusionCloud FunctionTeradata

Soft Skills

collaborationdocumentationdata qualitydata governanceQA testingUAT testingoperational efficiencyagilescrumprocess improvement