Analytics Data Engineer

Uber

Closed

Amsterdam

1 week ago

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Analytics Data Engineer

Uber seeks an Analytics Data Engineer for its EMEA BizOps team in Amsterdam. This hands-on role involves building data pipelines, metrics, and self-serve tools to support decision-making across Operations, Data Science, and Finance. Requires 5+ years of experience, advanced SQL, Python, and strong stakeholder management.

On-siteFull-timeSeniorSQLPython

Analytics Data Engineer

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On-siteFull-timeSeniorSQL

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

5 years

Employment Type

Full-time

Experience Level

5+ years experience in analytics engineering or similar roles

Core Qualifications

Technical (Must-have)

SQLPythonData PipelinesData ModelingDashboardsSelf-Serve AnalyticsETLData WarehousingApache AirflowApache SparkPrestoStakeholder ManagementCommunication

Soft Skills

AnalyticalCommunicationStakeholder ManagementProblem SolvingMentoringCuriosity

Preferred Qualifications

Technical (Nice-to-have)

Marketplace ExperienceFintech ExperienceExperiment DesignForecastingCausal Inference

Key Responsibilities

•Understand stakeholder data needs and translate into technical requirements.
•Define, build, and manage reliable data pipelines.
•Add new metrics and dimensions to Uber's centralized data warehouse.
•Build and maintain canonical datasets and metric layers.
•Establish high standards for data integrity and documentation.
•Develop insightful dashboards and visualizations.
•Build foundational self-serve data products and tools.
•Partner with Data Scientists to improve access to clean data.
•Work with senior stakeholders to clarify business questions.
•Champion 'manage by exception' ways of working.
•Influence the future roadmap of EMEA BizOps data products.
•Become an expert in Uber's business data and operating context.
•Mentor others in analytics and data engineering best practices.

Analytics Data EngineerUberEMEAData EngineeringSQLPythonAmsterdamOn-siteFull-time

Key Responsibilities

•Understand stakeholder data needs and translate into technical requirements.

•Define, build, and manage reliable data pipelines.

•Add new metrics and dimensions to Uber's centralized data warehouse.

•Build and maintain canonical datasets and metric layers.

•Establish high standards for data integrity and documentation.

•Develop insightful dashboards and visualizations.

•Build foundational self-serve data products and tools.

•Partner with Data Scientists to improve access to clean data.

•Work with senior stakeholders to clarify business questions.

•Champion 'manage by exception' ways of working.

•Influence the future roadmap of EMEA BizOps data products.

•Become an expert in Uber's business data and operating context.

•Mentor others in analytics and data engineering best practices.