AWS Data Engineer - Jumia (Full Time)

Jumia in Porto

At Jumia Porto Tech Center we boast over 16 different nationalities. We have around 350 employees from several business areas, from IT, to Finance, to HR. The IT team represents 75% of it, so as you can see we are a major tech company, and as a Tech company, we share an innovative spirit. At Jumia PTC you will work under the most updated technologies and work methodologies. We are great fans of Agile philosophy and we aim to keep things simple but smart. Also, for Jumia, technology relates with improvement for our world. We see technology as something we need to put purpose into. Our mission is to leverage technology to improve everyday life in Africa and we do it  by delivering convenient and affordable online services to consumers, helping them fulfill basic everyday needs. And while we’re present in Africa, we get to take African economy online, helping small and large businesses grow and reach new consumers. This is what drives our day to day decisions. :)

We seek a highly skilled and motivated Data Engineer proficient in AWS technologies to join our team. The ideal profile will have a strong background in building scalable and efficient data pipelines using Python, PySpark, SQL, Airflow, S3 Buckets, and Apache Iceberg for our Jumia central data platform. Transform Jumia's vast data landscape into a powerful engine for business growth and customer satisfaction. You'll architect and build the data infrastructure that powers decisions for Africa's largest e-commerce platform. 

What you will be doing

• Design and develop pipelines using Python, PySpark, and SQL


• Use GitLab as the versioning control system


• Utilize S3 buckets for storing large volumes of raw and processed data


• Implement and manage complex data workflows using Apache Airflow (MWAA) to orchestrate tasks


• Utilize Apache Iceberg (or similar) for managing and organizing data in the data lake


• Create and maintain data catalogs using AWS Glue Catalog to organize metadata


• AWS Athena for interactive querying


• Familiarize with data modeling techniques to support analytics and reporting requirements, as well as knowledge of the data journey stages within a data lake (Medallion Architecture)

What we are looking for

• Ideally, a degree in Information Technology, Computer Science, or a related field


• Ideally, +5 years of experience within the Data Engineering landscape


• Strong expertise in Python, PySpark, SQL, and the overall AWS data ecosystem


• Strong problem-solving and analytical skills


• Ability to explain technical concepts to non-technical users


• Proficiency to work with Github


• Terraform and CICD pipelines are a great ‘nice-to-have

If you're ready to play a pivotal role in shaping the future of our data landscape through cutting-edge technology, we want to hear from you. Join us in creating a more efficient, data-driven ecosystem that drives business success.