Senior Analytics Engineer - Quick Commerce

Delivery Hero SE; Berlin; Hybrid; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

27 days holiday

Educational budget

Language courses

Parental support

Gym subsidy

Employee share purchase plan

Pension plan

Zusammenfassung

Delivery Hero SE is seeking a Senior Analytics Engineer to design and maintain data pipelines and models powering Quick Commerce decision‑making. You’ll work across regional, business, product, data science, and analytics teams to build scalable data solutions in Google Cloud, using Spark and Airflow.

You’ll help standardize processes across data foundations, BI, data science, and analytics, and contribute to robust data governance, security, and quality practices.

Qualifikationen

• 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, including experience with large‑scale data processing frameworks and tools (e.g., Hadoop, Spark, 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 (e.g., MySQL, 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

Aufgaben

• 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

Kenntnisse

Python

SQL

Spark

Data modeling

Communication

Team collaboration

Ausbildung

Bachelor’s degree in CS/IS/Math or related field

Tools

Hadoop

Spark

Airflow

PostgreSQL

MySQL

BigQuery

Jobbeschreibung

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. We push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.

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. Alongside this, you'll help shape and promote strong coding practices, and contribute to how we standardize processes across data foundations, business intelligence, data science, and analytics.

Be part of redefining how customers experience quick commerce. You'll help build technology that scales our non‑food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you'll make Delivery Hero the go‑to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.

Responsibilities

• 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
• 3+ years of experience in data engineering, analytics, or a related role, including experience with large‑scale data processing frameworks and tools (e.g., Hadoop, Spark, 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 (e.g., MySQL, 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 (e.g., GDPR, CCPA)

Additional Information

• Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.
• Make the most of our hybrid working model and join the team for face‑to‑face connection and collaboration in our beautiful Berlin campus 2 days a week
• We offer 27 days holiday with an extra day on 2nd and 3rd year of service
• We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
• Get moving and release those wonderful, mind‑boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy
• Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.
• Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [e-mail].

Severely disabled applicants with equal qualifications will be given preferential consideration.

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.