Senior Analytics Engineer - Quick Commerce

Requirements

• Bachelor's degree in computer science, information systems, mathematics, statistics, or a related field
• 3+ years of experience in data engineering, analytics, or a related role
• Strong programming skills in Python, R, or Java
• Expertise in data modeling, database design, and data warehousing concepts
• Excellent communication and collaboration skills
• Good understanding of data governance, data quality, and data security principles

Nice to Have

• Master's degree in a related field
• Familiarity with data privacy regulations (e.g., GDPR, CCPA)

What You'll Be Doing

• Design and implement data pipelines, data models, and analytics solutions used across DataMesh
• Partner with cross-functional teams to define data requirements and build the data models
• Build and maintain ETL processes
• Work with application and analytics teams to solve problems and metrics
• Create dashboards for stakeholders
• Collaborate with data engineers on data catalogs, access controls, and governance processes

Perks and Benefits

• Hybrid working model - 2 days a week on-campus
• 27 days holiday with additional days based on service years
• Support for career growth and development
• Health and wellness benefits including gym subsidy
• Financial perks like Employee Share Purchase Plan, Sabbatical Bank
• Meal vouchers, corporate discounts, and more
• Relocation support to Berlin