Agile Lab
Senior Data Engineer IV (Remote)
Job Location
Torino, Italy
Job Description
Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customisable 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 organisations 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 organisations with their data-driven transformation. Take a look at our handbook to discover our core values and processes. Salary: 60K - 70K The opportunity: We are looking to recruit a Data Engineer IV to join our team. In this role you will be required to implement data intensive applications. To be successful as a Data Engineer, you should have excellent problem solving skills. Responsibilities: Analyzes, designs, and implements complex systems; Challenges the team processes, looking for ways to improve; Mentors junior engineers via pairing, design, and code review; Builds software solutions by adhering to our quality standards about SDLC ; Makes active efforts to stay up-to-date with technologies; Leads the technical design of complex systems; Understands and optimizes system performances; Takes the initiative to fix issues before they become a problem; Delivers complex systems, well-baked, and almost bug-free; Proactively Identifies problems with requirements and project plan; Go to an expert in one technological area; Research and propose new technologies; Detect possible performance bottlenecks; Known for drama-free launches; Can jump into an old project and fix it; Consistently influence technical and business roadmap of services/products/projects; Proactively identify and tackle tech debt; Communicate with self-awareness; When proposing something, at any level, is doing it in written form and providing the proper context; Contributes to the career development of others. Requirements: Bachelor’s degree in Computer Engineering or Computer Science; 6 previous experience; In-depth knowledge of Hadoop, Spark, and similar frameworks; In-depth knowledge of programming languages, including Java and Scala; Some knowledge of Data Mesh; Expert in cloud-native technologies, IaC, and Docker tools; Excellent project management skills; Excellent communication skills; Proactivity; Business and functional understanding; Team Player; Ability to solve complex networking, data, and software issues; Leadership capabilities. We offer: Full Remote or hybrid working in our offices: Milan, Turin, Padua, Bologna, Catania and Rende; Real work life balance; Training monthly budget (time and money); A structured career path with clear expectations and salary for each level; Support of a buddy, as a guide in choosing the most suitable experiences for your ambitions; Benefits and corporate welfare programs: company prizes and welcome pack with all the equipment you need to work; Smart Working Plus experience: opportunity to work for 2 weeks abroad Referral bonus, if you bring people as talented as you; The opportunity to attend one conference per year; Inclusive environment where you can be who you really are; Stimulating environment oriented to growth, both professional and personal. How we work: We don't like hierarchies: we work as a team; We don't like bureaucracies, we prefer sense of responsibility; We like data, certainly, so anything that is measurable; We want to make a positive change in our industry; Empathy, humility, collaboration, and willingness to challenge ourselves are the basis of our work. J-18808-Ljbffr
Location: Torino, Piemonte, IT
Posted Date: 10/30/2025
Location: Torino, Piemonte, IT
Posted Date: 10/30/2025
Contact Information
| Contact | Human Resources Agile Lab | 
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