Data Platform Engineer ( Kafka Oriented)
Operate and evolve an enterprise Kafka streaming platform across on-premises and cloud environments, supporting production reliability, troubleshooting, automation, and a major cloud migration.
Founded in 2017, Unit8 is a Swiss data and AI consulting company helping organisations in traditional industries solve complex challenges in areas such as operations, finance, manufacturing and R&D. We work at the intersection of technology and business, delivering data and AI solutions that create practical value for our clients.
Our teams have delivered projects across industries including automotive, chemicals, financial services, manufacturing and pharma. We are a Palantir partner and work with clients across the full data and AI journey, from understanding a business problem to building and deploying the solution.
Unit8 has delivered more than 300 projects and grown to a team of 190+ talented people across ten office locations. Following our growth across Europe and our expansion into North America, we are now building our presence in the United Arab Emirates. We are looking for a Palantir Foundry Engineer to join us in Abu Dhabi. This role is based in the UAE and includes relocation from Switzerland with full immigration and relocation support.
Requirements
As one of the first members of Unit8βs team in the UAE, you will help deliver Foundry solutions for clients while contributing to the growth of our presence in the region.
You will work directly with client teams to understand their data and operational challenges, then design and build solutions that address them. The role combines hands-on engineering with close collaboration across business and technical teams. You will also contribute your technical perspective during early client discussions and help shape practical approaches to new opportunities.
What Youβll Do
We are looking for an experienced Palantir Foundry Engineer with a passion for data and solving complex client challenges. You should be a skilled professional who has:
* Foundry Platform Knowledge
* Programming Skills - proficiency in Python and PySpark.
* Data Skills (Nice-to-have) - knowledge of data modeling and basic concepts of data science (classification, clustering, regression).
* Professional Experience
* Other
Benefits
Operate and evolve an enterprise Kafka streaming platform across on-premises and cloud environments, supporting production reliability, troubleshooting, automation, and a major cloud migration.
Projeta e mantΓ©m pipelines de dados e soluΓ§Γ΅es de observabilidade, diagnostica incidentes complexos e desenvolve automaΓ§Γ΅es para melhorar a confiabilidade, a disponibilidade e a rastreabilidade de sistemas em AWS.
Build and maintain AWS-based data pipelines and lake architectures, using Spark and PySpark to process large datasets while improving data reliability, security, and freshness.
Build and maintain AWS-based data pipelines and lake architectures, using Spark and related services to deliver reliable data processing, support analytics teams, and improve data quality and freshness.
Build and maintain scalable AWS data pipelines and lake architectures, using Spark and PySpark to process large datasets while improving data reliability, security, and freshness.