Manager, Data Engineer

Company: Andela

Location: Location not specified (Remote)

Type: Contract

Remote: Yes

Posted: 2026-06-22

About this role

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.

At Andela, we’re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We’re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to a multitude of exclusive technologist roles.

Join Andela today to access this opportunity and more in our global marketplace!

Our roles are typically filled at lightning speed, so if you’re considering applying, get your application in quickly!

This is a fully remote opportunity for one of our esteemed clients.

About the role:

The Manager, Data Engineering, acts primarily as a hands-on lead and mentor responsible for transforming data architecture vision into reliable, repeatable, and scalable data pipelines and data products. This role guides a talented but growing team on how to deliver efficiently while leading day-to-day engineering execution. The manager will establish robust data engineering practices across ingestion, transformation, testing, deployment, and operational support. Ultimately, this position bridges the gap between architectural strategy and practical, high-paced implementation.

Responsibilities:

● Act as a lead, mentor, and expert individual contributor to demonstrate what it means to deliver at pace.

● Own day-to-day execution for the Data Engineering team by breaking work into tasks, driving s...

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