Data Engineer (Quick Commerce)

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 platforms 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 platforms 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. Youll help build technology that scales our non-food offerings reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team youll 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 youre in good shape then were 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 well 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 weve 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.

 

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 experiencejust let us know with an email to our Inclusion Officer at it in your application.

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

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

Remote Work :

No

Employment Type :

Full-time