Senior Data Engineer - Forward deployed
Company: andela
Location: North America (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-06-17
About this role
About Andela:
At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected its customers with top global, remote technical talent from over 135 countries with the majority residing in emerging markets like Africa and Latin America.
As one of the world’s largest talent marketplaces, Andela gives companies greater flexibility to quickly deploy qualified technologists. With talent highly skilled in advanced technologies to support Application Development, Artificial Intelligence, Cloud & DevOps, Data Engineering, and much more, customers experience 33% faster project delivery. The company’s exclusive AI-powered platform, Andela Talent Cloud, is the industry’s only unified platform managing the complete global talent lifecycle and enables customers to fill individual roles or engage fully managed teams up to 66% faster.
Andela is on the precipice of two breakout industry transformations: one in staffing/hiring and the other in software development, both accelerated by generative AI.
Are you an exceptional, hungry leader seasoned in scaling businesses through transformation and growth? Join us and change the world.
Job Summary:
Andela is transitioning from a world-class talent marketplace into a high-scale, AI-integrated Talent Cloud.
In this Senior Data Engineer role, you will be forward deployed with an enterprise-scale organization in the automotive industry undergoing a significant transformation in how it leverages data and analytics to drive commercial and operational decisions. They are investing in modern data infrastructure, advanced analytics, and AI/ML capabilities to improve performance across key business areas. The environment emphasizes strategic thinking, cross-functional collaboration, and the ability to translate complex data into actionable insights.
This role requires someone who enjoys working with customers, thinks about data as a product, ensures data is relia...