Data Engineer II - (Fintech)

We build. We deliver. We lead.

We build the world's largest on-demand delivery platform.

We are an international community of entrepreneurs at heart who are passionate problem solvers.

We enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt.

This comes with a growth opportunity across the most exciting corners of the world. No matter where you're from or what you believe in, we build, we deliver, we lead.

We are Delivery Hero.

About the opportunity

We are on the lookout for a Mid Level, Data Engineer , to join the Fintech team on our journey to always deliver amazing experiences.

Who we are

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.

• Be part of building the financial backbone of Delivery Hero. You’ll develop products that empower millions of customers and merchants, from seamless payments to innovative financial solutions like wallets and credit. Your work will support our path to profitability by creating financial flexibility for users and enabling smooth transactions across our markets.
• Work together with data analysts, product managers, backend engineers and data scientists in cross functional projects to develop the data solution.
• Advocate data engineering best practices and design principles in our engineering teams.
• Ensure that we have a performant and efficient data access layer in our applications.
• Perform on-going reviews of our application code and database queries to improve software performance.
• Advocate data engineering best practices and design principles in our engineering teams.
• Review database queries and storage strategies.

• Strong knowledge of relational databases, data modeling and solid experience in doing data analysis and transformations with SQL
• Experience with big data infrastructure on GCP or AWS
• Experience with our tech stack or similar tools: Git, Airflow, Python, SQL, BigQuery
• Experience with pipeline and workflow management tools.
• Love to learn and constantly improve your own skills and are not afraid to jump into new things
• Good verbal and written communication skills in English and able to present the thoughts in a clear and structured manner.
• Nice to have:
• Familiar with data privacy regulations such as GDPR or ISO 27001
• Payment, banking or financial exposure
• Familiar with fast moving tech business.
• Knowledge of dbt and realtime solutions (PubSub/Dataflow)