(Senior) Analytics Engineer - Quick Commerce (all genders)
Berlin, Germany
Delivery Hero
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 over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.
Job Description
Be our next Hero! - Join the world’s leading local delivery platform.
We are looking for a (Senior) Analytics Engineer - Quick Commerce (all genders)) to join the Quick Commerce tribe on our journey to always deliver amazing experiences.
Short description about the team & position
Become a part of the newly formed Analytics Engineering function.
You will contribute to forming and improving our huge data model setup located in Google Cloud and powered by Apache Spark and Airflow by breaking down the complexities, identifying friction points, refactoring for better performance, and ensuring its scalability.
You are also going to be responsible for designing and promoting best coding practices, as well as taking part in the standardization routines for data foundations, business intelligence and data science and analytics teams.
If you're a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!
Your mission:
Design and implement data pipelines, data models, and analytics solutions which will be used in DataMesh.
Work closely with cross-functional teams to define data requirements, and develop data models.
Develop and maintain data pipelines and ETL processes that ensure data quality and integrity, while minimizing latency and processing times.
Monitor and optimize data pipelines, queries, and database performance to ensure high availability and low latency.
Create dashboards that provide insights on stakeholders on data / performance metrics across the organization.
Collaborate with other data engineers to develop and maintain data catalogs, data access controls, and other governance-related processes.
Your heroic skills:
Prior experience (3+ Years) in data engineering, analytics, or a related role. Experience with large-scale data processing frameworks and tools (e.g., Hadoop, Spark, SQL) is highly desirable.
Strong programming skills in languages such as Python, R, or Java. Proficiency in SQL is essential.
Expertise in data modeling, database design, and data warehousing concepts. Experience with relational databases (e.g., MySQL, PostgreSQL) required.
Experience with data exploration and analysis and attention to detail and a passion for data accuracy and integrity.
Excellent communication and collaboration skills. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
Who We Are: As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.
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. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent.
What's in it for you:
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
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
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, 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
Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support
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, Online Canteen, Corporate Discounts
Additional Information
At Delivery Hero, 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. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Business Intelligence Data pipelines Data quality Data Warehousing Engineering ETL GCP Google Cloud Hadoop Java MySQL Pipelines PostgreSQL Python R RDBMS Spark SQL
Perks/benefits: Insurance Yoga
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