Data Engineering Manager at DATAPAO

We are DATAPAO, a premier consulting firm specializing in Data Engineering and AI. As a Databricks Gold Partner backed by Databricks themselves, we are recognized for our rapid growth and high delivery standards, having earned the title of Databricks EMEA Emerging Business Partner of the Year. We are currently seeking a Data Engineering Manager to join our team on a full-time, remote basis in Spain. In this role, you will help us scale our engineering capabilities while working directly with EMEA customers to solve complex challenges in cloud migration, MLOps, and data architecture.

Responsibilities

• Lead and mentor a team of 5-6 consultants, overseeing their professional growth and ensuring the successful delivery of high-impact data projects.
• Maintain a hands-on approach by actively participating in the design and implementation of data engineering, ML, and MLOps solutions for our enterprise clients.
• Drive organizational excellence by identifying and filling gaps in processes, documentation, and resource allocation to ensure our team operates at the highest standard.

Requirements

• Proven experience in a leadership or management capacity, whether through formal roles or by successfully leading project teams and delivery efforts.
• Strong technical background in Data Engineering, with hands-on proficiency in SQL, NoSQL, and distributed systems.
• Experience with the big data ecosystem, including Apache Spark, cloud platforms, and modern storage formats like Delta Lake.
• A consultant mindset with a passion for customer experience, excellent communication skills, and the ability to articulate technical concepts to diverse audiences.
• Fluency in English, which is essential for our collaborative and international work environment.

What we offer

The salary for this position ranges from 77,000 to 97,000 USD per year. We provide a supportive environment designed to help you thrive, including:

• A fully remote work setup with a provided home office budget to ensure you are comfortable.
• A dedicated learning budget and professional development opportunities, including access to internal and public Databricks courses.
• Comprehensive medical insurance and an employee assistance program to support your well-being.
• Generous paid time off to ensure a healthy work-life balance.