Senior Engineering Manager: Lead Data-Driven Teams Remote

Agile Lab; Torino; Ibrido; EUR 65.000 - 80.000; Tempo pieno

Descrizione del lavoro

Join a forward-thinking company as an Engineering Manager, where you will lead a talented team in enhancing data-driven processes. This role offers the opportunity to shape the technical direction of complex systems while fostering a collaborative environment. You will enjoy a flexible work arrangement, a structured career path, and a commitment to work-life balance. With a focus on continuous improvement and innovation, this position is perfect for those who thrive in a dynamic setting and are eager to make a significant impact in the data engineering field.

Servizi

Full Remote or hybrid working

Real work-life balance

Training monthly budget

Structured career path

Buddy support program

Corporate welfare programs

Smart Working Plus experience

Referral bonus

Conference attendance

Inclusive environment

Competenze

• 10+ years of experience in engineering management with a focus on data systems.
• In-depth knowledge of data frameworks and cloud-native technologies.

Mansioni

• Lead and mentor teams of engineers to enhance their skills and productivity.
• Identify and address technical debt while improving team processes.

Conoscenze

Leadership

Project Management

Communication

Proactivity

Team Player

Formazione

Bachelor's degree in Computer Engineering

Bachelor's degree in Computer Science

Strumenti

Hadoop

Spark

Java

Scala

Docker

Cloud-native technologies

Descrizione del lavoro

Join a forward-thinking company as an Engineering Manager, where you will lead a talented team in enhancing data-driven processes. This role offers the opportunity to shape the technical direction of complex systems while fostering a collaborative environment. You will enjoy a flexible work arrangement, a structured career path, and a commitment to work-life balance. With a focus on continuous improvement and innovation, this position is perfect for those who thrive in a dynamic setting and are eager to make a significant impact in the data engineering field.