Data Engineer (Quick Commerce) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Modeling, SQL, Python, ETL Processes, Data Quality, Data Governance, Apache Airflow, Apache Kafka, Terraform, GCP, AWS, Azure, Data Visualization, Data Mesh, Analytics

Industry

technology;Information and Internet

Description

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, 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 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 We are on the lookout for a Data Engineer to join the Quick Commerce team on our journey to always deliver amazing experiences. As a Data Engineer, your primary mission will be to contribute to forming and improving our huge data model setup located in Google Cloud. This involves diving deep into our data platform to break down data platform and pipeline complexities, identify friction points, and optimise systems for better performance and scalability. You will be part of the team directly responsible for managing the data platform’s infrastructure components, continuously monitoring and optimizing pipelines, queries, and databases to ensure high availability and performance. Day-to-day, you will be hands-on in designing, building, and maintaining scalable ingestion and data pipelines, ETL processes using SQL and Python, with a strong focus on ensuring high data quality, integrity, and low latency. This role also carries a responsibility for governance and standards. You will be responsible for promoting best coding practices and participating in standardization routines for data foundations, analytics, and data science. This extends to collaborating on data catalogs and access controls to ensure all data processes adhere to strict accuracy, privacy, security, and compliance standards. You will work as a key collaborator, establishing Data Contracts between our numerous Domain Data Units and shaping efficient ways of working between various stakeholder groups. You will also work closely with cross-functional teams to define data requirements and implement or enhance data models specifically for our DataMesh environment. Manage data platform’s infrastructure components, continuously enhancing and monitoring them as well as optimizing pipelines, queries, and databases for high availability and performance. Design, build, and maintain scalable data pipelines and ETL processes using SQL and Python, ensuring high data quality, integrity, and low latency. Work with cross-functional teams to define requirements and implement/enhance data models for a DataMesh environment. Collaborate on data catalogs and access controls, ensuring all data processes adhere to accuracy, privacy, security, and compliance standards. Build and deploy foundational data products for data science and analytics teams, troubleshoot data quality problems, and provide technical support for the BI toolbox. 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. Qualifications 3+ years of experience in data or analytics engineering or a related field, with a focus on developing and maintaining large-scale data pipelines. Proven ability to design and build complex data modeling in DataMesh. Strong programming skills in SQL, Python. Good understanding of an IaaC tool like Terraform. Experience with tools such as Apache Airflow, Apache Kafka, and Terraform. Experience with one of the cloud platforms, GCP, AWS, or Azure. Nice to Have Experience with implementing the Data Mesh model in a production environment, along with Data Lakes. Experience with data visualization tools such as Tableau, Looker, or Power BI. Experience with the E-commerce sector. Strong analytical and problem-solving skills, with a keen eye for detail. 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 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. Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters. Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! 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 [email protected] it in your application. 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.

Responsibilities

The Data Engineer will contribute to forming and improving the data model setup in Google Cloud, optimizing systems for performance and scalability. Responsibilities include designing, building, and maintaining data pipelines and ETL processes while ensuring data quality and compliance standards.