Senior Staff Engineer I (Remote)

Agile Lab; Torino; Ibrido; EUR 62.000 - 73.000; Tempo pieno

Descrizione del lavoro

An innovative company is seeking a talented Staff Engineer to develop and manage cutting-edge Big Data solutions. In this dynamic role, you will design and implement robust tools and frameworks, ensuring the delivery of high-quality, data-intensive applications. Join a collaborative team that values autonomy and fosters a supportive work environment. With opportunities for professional growth and a strong emphasis on work-life balance, this position offers the chance to make a significant impact in the data engineering field. Embrace the challenge and be part of a forward-thinking organization that prioritizes creativity and innovation.

Servizi

Full remote or hybrid working

Monthly training budget

Structured career path

Support of a buddy

Corporate welfare programs

Opportunity to work abroad

Referral bonus

Attend one conference per year

Inclusive environment

Growth-oriented environment

Competenze

• 7+ years of experience in Big Data engineering.
• In-depth knowledge of Hadoop and Spark frameworks.
• Proficiency in Java and Scala programming languages.

Mansioni

• Design and implement Big Data tools and frameworks.
• Mentor junior engineers and improve team processes.
• Lead the technical design of complex systems.

Conoscenze

Hadoop

Spark

Java

Scala

Cloud-native technologies

Infrastructure as Code (IaC)

Docker

Project management

Communication

Problem-solving

Formazione

Bachelor’s degree in Computer Engineering

Bachelor’s degree in Computer Science

Strumenti

Docker

Descrizione del lavoro

Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customizable solutions that establish performance-driven processes, sustainable architectures, and automated platforms based on data governance best practices.

Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organizations to discover, value, and produce their data in both traditional environments and fully compliant Data Mesh architectures.

With a highly skilled team of over 130 data engineers based in Europe, Agile Lab helps organizations with their data-driven transformation.

Take a look at our handbook to discover our core values and processes.

We are looking to hire a talented Staff Engineer to develop and manage our Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, data-intensive applications, and cloud platforms.
To ensure success as a Big Data Engineer, you should have in-depth knowledge of distributed computing technologies and top problem-solving skills.

Salary: 62.5K - 72.5K + up to 8K bonus

Responsibilities:

1. Analyzes, designs, and implements complex systems
2. Challenges team processes, looking for ways to improve
3. Mentors junior engineers via pairing, design, and code review
4. Builds software solutions by adhering to our quality standards about SDLC
5. Makes active efforts to stay up-to-date with technologies
6. Leads the technical design of complex systems
7. Understands and optimizes system performances
8. Takes the initiative to fix issues before they become problems
9. Delivers complex systems, well-baked, and almost bug-free
10. Proactively identifies problems with requirements and project plans
11. Becomes an expert in one technological area
12. Researches and proposes new technologies
13. Detects possible performance bottlenecks
14. Known for drama-free launches
15. Can jump into old projects and fix them
16. Influences the technical and business roadmap of services/products/projects
17. Proactively identifies and tackles tech debt
18. Communicates with self-awareness
19. Proposes solutions in written form with proper context
20. Contributes to the career development of others
21. Is sought out for technical guidance and is seen as a resource by others
22. Creates sweeping improvements in stability, performance, and scalability of major business-critical systems
23. Can discuss at the same level with tech-vendor engineering teams
24. Debugs complex problems encountered by the team
25. Resolves tech and business problems effectively
26. Removes roadblocks for multiple projects/products
27. Acts with full autonomy based on strategy
28. Has made a significant positive impact on the company's technical/business trajectory
29. Identifies technological improvement areas for the organization
30. Focuses on efficiency, introducing new practices, processes, and standards
31. Listens, guides debates, and helps reach consensus; communicates decisions clearly
32. Sets short to medium-term strategic technical or operational directions, looking 6-12 months ahead
33. Clearly communicates technical vision and helps teams and stakeholders follow it
34. Proactively identifies and communicates lack of clarity in overall strategy

Requirements:

1. Bachelor’s degree in Computer Engineering or Computer Science
2. 7+ years of experience in the field
3. In-depth knowledge of Hadoop, Spark, and similar frameworks
4. Proficiency in Java and Scala
5. Expertise in cloud-native technologies, IaC, and Docker tools
6. Excellent project management skills
7. Excellent communication skills
8. Proactivity
9. Business and functional understanding
10. Team player
11. Ability to solve complex networking, data, and software issues
12. Leadership capabilities

We offer:

1. Full remote or hybrid working in Milan, Turin, Padua, Bologna, Catania, and Rende
2. Work-life balance
3. Monthly training budget
4. Structured career path with clear expectations and salary levels
5. Support of a buddy for guidance
6. Benefits and corporate welfare programs
7. Opportunity to work abroad for 2 weeks
8. Referral bonus
9. Attend one conference per year
10. Inclusive environment
11. Growth-oriented environment

How we work:

1. No hierarchies; we work as a team
2. No bureaucracy; responsibility is valued
3. Data-driven decisions
4. Aim to positively change our industry
5. Values of empathy, humility, collaboration, and self-challenge