A distanza

Tipo di lavoro: A Tempo completo

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.

📌 Senior Data Engineer IV (Remote) (Italia)
🏢 AGILE LAB
📍 Italia