Want to be a hero? – Join the #1 Global Leader in online food ordering and delivery!

We are looking for Senior Data Engineers (f/m/d) to join our Quick-Commerce team. Contribute to the creation of our next generation platform, that works on expanding our amazing delivery to new products such as groceries, pharmaceuticals, flowers and more. Work on warehouse management systems, our shopper app and our customer facing systems.

If you’re a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Your mission:

  • Gather and process raw data at scale (incl. writing programs & scripts, SQL, calling APIs, etc.)

  • Extract data from various third-party tools and APIs, e.g. Google BigQuery, Adyen, PayPal and many others

  • Develop and maintain ETL processing pipelines for daily batch, data ingestion and sharing

  • Collaborate with other engineers to ensure the reliability, efficiency and agility of data pipelines

  • Collaborate with other engineers to define and optimize data quality and engineering practices and standards

  • Provide support and recommendations to data stakeholders

  • Identify, debug and resolve data availability, data accuracy and data quality issues in a complex, fast changing environment

  • Work closely with our data scientists to deploy machine learning models into production

  • Produce quality documentation

What you bring to the table:

  • Expert experience (5+ years) designing and developing data transformation, data transport and data serving applications in a cloud environment (AWS, GCP, Azure)

  • Advanced knowledge (3+ years) of SQL and Python, including reliability and performance optimization

  • Experience (2+ years) designing and developing data applications at scale

  • Creative problem-solving and strong detail oriented abilities.

  • Experience with job schedulers (we are using Airflow)

  • Fluent English communication skills.

  • Experience working in agile environments.

Nice to have:

  • Experience with:

    • Terraform

    • Spinnaker

    • NoSQL

  • Data Science experience

Tagged as: agile, AI, APIs, Azure, C++, Data, ETL, Go, Machine Learning, Python, R, SQL

Source:

Job Overview
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