Senior Data Engineer llWhen you think of food delivery in the MENA region, we’d be pretty surprised if talabat didn’t pop into your mind first! Since delivering our first order in Kuwait in 2004, we’ve grown quite a lot over the past 17 years.

Today, we deliver hundreds of millions of food orders, grocery items and other products per year, to our customers in nine countries throughout the region with more than 3,000+ employees! Our food delivery business works with over 27,000 brands and almost 50,000 branches, while our q-commerce concept, talabat mart, now delivers groceries to customers in Bahrain, Egypt, Jordan, Kuwait, Oman Qatar, and the UAE in 30 minutes or less!

Our philosophy is to make sure we do what is right for our ecosystem - our customers, our partners, our people, our riders, and the communities in which we operate. Our #techforgood program allows our customers a safe and convenient way to contribute to important causes in their community through donating to local and international charities directly on talabat with a focus on food insecurity in the region. Since its inception in 2020, we have facilitated the donation of well over 1 million meals to those in need, as well as donated over $1.5 million to charity with the help of our partners and customers. talabat is part of Delivery Hero, the global leader in online food delivery and q-commerce.

As a Senior Data Engineer II, you will work on our next generation ordering platform to create a smooth and easy ordering experience for our customers.

If you'rea creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Cairo.

Core Responsibilities

• Participate in the design and implementation of the architecture of the data infrastructure and storage platforms.
• Participate in the design and implementation of the data engineering technology stack, ETL pipelines, and services needed to curate a portfolio of actionable, accurate datasets to support business intelligence, product experimentation, and machine learning.
• Contribute to the definition of engineering and data science best practices to ensure the development of well-crafted, pragmatic and elegant solutions.
• Engage with local and global stakeholders to evolve and generalize data models and data definitions.
• Foster collaboration, knowledge sharing and data literacy between teams.
• Deeply understand and strive for the improvement of data organization, data management, and data governance best practices.
• Advocate code quality and documentation.
• Coach junior data engineers (and data scientists) through code reviews, pair programming, and tech talk sessions.
• Partner effectively with product and other stakeholders, to drive successful solutions.
  
  

The Following Experience Is Relevant To Us

• Extensive experience (5+ years) designing and developing data transformation, data transport and data serving applications in a cloud environment (AWS, GCP, Azure)
• Expert knowledge (5+ years) of SQL, and either Python, Java or TypeScript, including reliability and performance optimization.
• Extensive experience (5+ years) querying NoSQL and graph databases (e.g. MongoDB, HBase, Cassandra, Neo4j).
• Extensive experience (5+ years) designing and developing data applications at scale.
• Experience (2+ years) with languages and tools for of data manipulation, analysis and plotting (R, R-shiny, R- markdown, Scikit, Numpy/Scipy, Pandas, Matplotlib, Bokeh, Jupyter).
• Experience (2+ years) with mathematical and statistical data analysis techniques (such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing and econometric models).
• Wide experience in different technology stacks, tools, and practices such as DevOps.
• Experience with CI/CD tools and techniques.