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 160 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.

💼 The opportunity:

We are looking to hire a talented Data 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.

You’re going to work in a challenging context where to explore the power of billions nodes graph.

To ensure success as a Data Engineer, you should have in-depth knowledge of distributed computing technologies and top problem-solving skills.

💰 RAL

€30-40K

💻 Responsibilities:

• Analyzes and implements a complex feature autonomously
• Builds software solutions by adhering to our quality standards about SDLC
• Participates in the technical design of features with guidance
• Understands and optimizes system performances
• Prioritizes tasks with autonomy based on requirements and proper context
• Management and monitoring over the database Neo4J
• Design and implementation of complex queries based on cypher

🛠️ Requirements:

• Bachelor’s degree in Computer Engineering or Computer Science
• Minimum experience of 6 months as a Data Engineer;
• Good knowledge of Hadoop, Spark, and similar frameworks
• Good knowledge of Springboot
• Good Knowledge of programming languages including Java and Scala
• Good knowledge of Neo4J v5 ecosystem (Clustering, Quantified Path Patterns)
• Familiarity at least on a cloud provider, and Docker tools
• Good communication skills
• Team Player
• Eager to learn

🙌🏻 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 in the first week of work;
• A coach 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;
• Agile Nomads 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;
• A company rated 4.8 out of 5 for employee satisfaction on Glassdoorand certified as a Great Place to Work
  
• 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.

🤔 Not sure which level to apply for? Check out our Career Ladder to learn more.

Please note: only candidates based in European time zones (CEST or similar) will be considered for this position

Candidates who successfully complete our selection process will be included in the Agile Lab ranking, valid for six months.

This position is open to all candidates, regardless of gender, and we strongly encourage applications from both male and female candidates pursuant to Art. 27 of Legislative Decree no. 198/2006, as well as those who identify themselves as non-binary or of any other kind. We are committed to fostering a diverse and inclusive workplace.