Data Engineer | Remote Working

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8mwq1p

pbAgile Lab /b 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 300 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation. /p h3Opportunity /h3 pAs a Data Engineer IV excellent problem-solving skills are required. The role requires a senior profile with strong experience in designing and implementing complex, scalable, and reliable data solutions, capable of driving technical decisions and effectively collaborating with cross-functional teams. /p h3Salary and job classification /h3 ul liBase

salary:
€62K
- €78K + 4K premio pack /li liCCNL: Commercio /li liLadder: Data Engineer IV /li /ul h3Responsibilities /h3 ul liAnalyzes, designs, and implements complex systems; /li liBuilds software solutions by adhering to our quality standards about SDLC; /li liMakes active efforts to stay up-to-date with technologies; /li liLeads the technical design of complex systems; /li liUnderstands and optimizes system performances; /li liDelivers complex systems, well-baked,



and almost bug-free; /li liProactively Identifies problems with required and project plan; /li liResearch and propose new technologies; /li liCan jump into an old project and fix it; /li liConsistently influence technical and business roadmap of services/products/projects; /li liProactively identify and tackle tech debt; /li liWhen proposing something, at any level, is doing it in written form and providing the proper context; /li /ul h3Requirements /h3 ul liBachelor’s degree in Computer Engineering or Computer Science; /li li6+ previous experience; /li liIn-depth knowledge of Hadoop, Spark, and similar frameworks; /li liIn-depth knowledge of programming languages, including Java; /li liSome knowledge of Data Mesh; /li liStrong expertise in cloud-native technologies; /li liExcellent project management skills; /li liAbility to solve complex networking, data, and software issues; /li /ul h3We Offer /h3 h3Care about Work Flexibility /h3 ul liFull remote or hybrid working in our offices: li liAgile Nomads

Experience:
opportunity to work for 2 weeks abroad. /li /ul h3Care about Growth Development /h3 ul liTraining budget: €li liOpportunity to attend international conferences, with additional support for travel and accommodation; /li liDedicated coaching throughout your growth. /li liCare about Well-being /li liStimulating environment focused on both professional and personal growth; /li /ul h3Care About Benefits Financial Support /h3 ul liMeal vouchers; /li liReferral bonus if you bring people as talented as you; /li /ul h3Care about Family Life /h3 ul liExtended parental leave,



including +15 days fully paid by the company; /li liPaid leave for children’s illness and additional support beyond standard policies; /li liChildcare support: vouchers for daycare and babysitting services; /li liInclusive policies supporting all types of families. /li /ul h3Care about Perks Tools /h3 ul liWelcome pack with all the equipment you need to work; /li liCorporate benefits portal with discounts on travel, fashion, technology and more. /li /ul h3Care About Company Culture /h3 ul liTurnover rate: 8.29% (below the market average), not by chance but thanks to clear career paths, ongoing feedback and real attention to people’s growth; /li liInclusive environment where you can truly be yourself, backed by our certifications in Gender Equality, Diversity Inclusion and SA8000, reflecting our commitment to ethical and responsible working conditions; /li /ul h3How We Work /h3 ul liWe don't like hierarchies: we work as a team; /li liWe don't like bureaucracies; li liWe like data, certainly, so anything that is measurable; /li liEmpathy, humility, collaboration, and willingness to challenge ourselves are the basis of our work. /li /ul pNot sure which level to apply for? Check out our Career Ladder to learn more. /p h3People who successfully complete our selection process will be included in the Agile Lab backlog, valid for six months. /h3 pThis position is open to everyone, regardless of gender, and we strongly encourage applications from both male and female candidates pursuant to Art. 198/2006, as well as those who identify themselves as non-binary or of any other kind. p pWe revolutionize how enterprises manage their Data AI products at scale, making data business-actionable for humans and AI. /

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8mwq1p