Senior Analytics Engineer - Quick Commerce

Senior Analytics Engineer - Quick Commerce

Company Description

As the world's pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide, powered by tech, designed by people. As one of Europe's largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.

Job Description

Deep analysis. Smarter systems. Real users. As a Senior Analytics Engineer, you'll design and maintain the data pipelines and models that power decision-making across Quick Commerce. You'll work closely with regional, business, product, data science, and analytics teams worldwide to build data solutions that drive our business and fuel new innovations.

You'll join our Analytics Engineering function within Data Foundations, working on the data model setup that powers Quick Commerce decision-making in Google Cloud, built on Apache Spark and Airflow. You'll simplify complex systems, resolve friction points, and refactor for better performance and scalability.

• 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 that support them
• Build and maintain ETL processes that keep data quality and integrity high while minimizing latency and processing time
• Work with application and analytics teams to turn problem statements and metrics into efficient technical solutions
• Create dashboards that give stakeholders clear visibility into data and performance metrics across the organization
• Collaborate with data engineers on data catalogs, access controls, and governance processes, and mentor peers along the way

Qualifications

• Bachelor's degree in computer science, information systems, mathematics, statistics, or a related field
• 5+ years of experience in data engineering, analytics, or a related role, including experience with large-scale data processing frameworks and tools such as Hadoop, Spark, and SQL
• Strong programming skills in Python, R, or Java, with proficiency in SQL
• Expertise in data modeling, database design, and data warehousing concepts, including experience with relational databases such as MySQL and PostgreSQL
• Excellent communication and collaboration skills, with strong attention to detail and the ability to explain technical concepts to both technical and non-technical stakeholders
• 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 such as GDPR and CCPA

Additional Information

• Make the most of the hybrid working model and join the team in the Berlin campus 2 days a week
• 27 days holiday with an extra day on 2nd and 3rd year of service
• 1.000 EUR Educational Budget, Language Courses, Parental Support and access to Udemy Business
• Health Checkups, Meditation, Gym and Bicycle Subsidy
• Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life and Accident Insurance, Corporate Pension Plan
• Digital Meal Vouchers, Food Vouchers and Corporate Discounts

Apply today if you're excited to grow, collaborate and be part of the world's leading delivery platform.