Data Engineer

When 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 the leading delivery company in the region, we have a great responsibility
and opportunity to impact the lives of millions of customers, restaurant
partners, and riders. To realize our potential, we need to advance our
platform to become much more intelligent in how it understands and serves our
users.
As a data engineer in the data team, your mission will be to build and
maintain the data platform. You will own the data pipeline architecture,
optimizing data flow and collection for cross-functional teams. The ideal
candidate is an experienced data pipeline builder and data wrangler who enjoys
optimizing data systems and building them from the ground up. The Data
Engineer will support our software developers, database architects, data
analysts, and data scientists on data initiatives and will ensure optimal data
delivery architecture is reliable and consistent.
What's On Your Plate:
* Create and maintain an optimal data pipeline architecture.
* Assemble large, complex data sets that meet business requirements.
* Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
* Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
* Designing and implementing effective and impactful data systems in production.
* Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
* Collaborating on the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
* Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
* Work with data and analytics experts to strive for greater functionality in our data systems.
* Contributing to improving our ways of work, our tooling, and our internal training programs.
What Did We Order:
* Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
* Experience building and optimizing data pipelines, architectures, and data sets.
* Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
* Strong analytic skills related to working with unstructured datasets.
* Build processes supporting data transformation, data structures, metadata, dependency and workload management.
* A successful history of manipulating, processing and extracting value from large disconnected datasets.
* Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
* Strong project management and organizational skills.
* Experience supporting and working with cross-functional teams in a dynamic environment.
* A good problem solver with a 'figure it out' growth mindset.
* An excellent collaborator.
* An excellent communicator.
* A strong sense of ownership and accountability.
* A 'keep it simple' approach to #makeithappen.
* Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
Technical Experience
* ‎3+ years of overall experience working in data engineering or software engineering.
Experience with big data tools: Hadoop, Spark, Kafka, etc.
* Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
* Experience with data pipeline and workflow management tools: Airflow, Azkaban, Luigi, etc.
* Experience with GCP and AWS cloud services.
* Experience with stream-processing systems: Storm, Spark-Streaming, etc.
* Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.