Senior Data Engineer IV - Remote, Growth & Impact

Agile Lab; Torino; Ibrido; EUR 60.000 - 70.000; Tempo pieno

Vantaggi offerti da questo lavoro

Full Remote or Hybrid Working

Real Work-Life Balance

Monthly Training Budget

Structured Career Path

Buddy Support Program

Corporate Welfare Programs

Smart Working Plus Experience

Referral Bonus

Conference Attendance

Inclusive Environment

Descrizione del lavoro

An innovative company is seeking a skilled Data Engineer IV to implement data-intensive applications. This role offers the chance to work with cutting-edge technologies in a collaborative environment that values growth and creativity. You will be part of a dynamic team that challenges the status quo, mentors others, and leads the design of complex systems. With a focus on work-life balance and continuous learning, this position is perfect for those looking to make a significant impact in the data engineering field while enjoying the flexibility of remote or hybrid work arrangements.

Competenze

• 6+ years of experience in data engineering and complex system design.
• In-depth knowledge of cloud-native technologies and programming languages.

Mansioni

• Analyze and implement complex data systems while mentoring junior engineers.
• Lead technical design and optimize system performance.

Conoscenze

Problem Solving

Project Management

Communication

Proactivity

Leadership

Formazione

Bachelor’s degree in Computer Engineering

Bachelor’s degree in Computer Science

Strumenti

Hadoop

Spark

Java

Scala

Docker

Descrizione del lavoro

An innovative company is seeking a skilled Data Engineer IV to implement data-intensive applications. This role offers the chance to work with cutting-edge technologies in a collaborative environment that values growth and creativity. You will be part of a dynamic team that challenges the status quo, mentors others, and leads the design of complex systems. With a focus on work-life balance and continuous learning, this position is perfect for those looking to make a significant impact in the data engineering field while enjoying the flexibility of remote or hybrid work arrangements.