Senior Analytics Engineer - Quick Commerce

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

Benefits dieser Stelle

Hybrid work model in Berlin campus (2+

27 days holiday

Educational budget 1,000 €

Zusammenfassung

Delivery Hero in Berlin is seeking a Senior Analytics Engineer to design and maintain data pipelines and models powering decision-making across Quick Commerce.

You will collaborate with regional and global teams to build scalable data solutions using Spark, Airflow, and Google Cloud, promote strong coding practices, and mentor peers.

The role emphasizes data governance, dashboards, ETL performance, and delivering fast insights to drive revenue growth for the company.

Qualifikationen

• Bachelor’s degree in a related field.
• 3+ years in data engineering/analytics with large-scale data processing.
• Strong programming in Python, R, or Java with SQL proficiency.
• Expertise in data modeling, database design, and data warehousing.
• Excellent communication and collaboration with stakeholders.
• Good understanding of data governance and data security.

Aufgaben

• Design and maintain data pipelines, data models, and analytics solutions used across DataMesh.
• Partner with cross-functional teams to define data requirements and build supporting models.
• Build and maintain ETL processes to ensure data quality with low latency.
• Turn business problems into efficient technical solutions with analytics teams.
• Create dashboards giving stakeholders visibility into data and performance metrics.
• Collaborate on data catalogs, access controls, and governance; mentor peers.

Kenntnisse

Python

SQL

Data modeling

Data warehousing

Communication

Governance

Ausbildung

Bachelor's degree in CS/IS/Math/Stats

Master's degree (nice to have)

Tools

Hadoop

Spark

MySQL

PostgreSQL

Jobbeschreibung

• Full-time

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.

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 ourhybrid 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.

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 [emailprotected] .
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.