Imagine working alongside over 4,000 talented individuals driven by a shared passion for excellence and innovation. We’re not just a company; we are a dynamic ecosystem of companies, including VASS, NATEEVO, Serbatic, vdSHOP, T4S, Comunytek, ECENTA, and CRI group. Our collective strength and the E4 Agile Method empower us to assist large enterprises in their digital transformation journey, executing ground‑breaking projects from strategy to operation.
Global Impact, Local Commitment
At VASS we are not just a business; we are committed to society. In 2019, we established the VASS Foundation to champion research and training in the digital talent space. We proudly allocate 2% of our profits and encourage our entire team to dedicate 1% of their time to impactful solidarity actions. It is not just about growing the bottom line; it’s about growing together, hand in hand with the community we serve.
About the role
We are looking for a highly skilled Lead Data & AI Engineer to join our Data & AI practice and lead the technical implementation of modern Data Products, AI‑powered Analytics Solutions and Intelligence Platforms built on modern cloud data platforms.
This is a hands‑on technical role focused on designing and implementing production‑ready solutions that combine Data Engineering, Analytics and Generative AI capabilities. The successful candidate will act as the technical lead during delivery, translating high‑level architectures and business requirements into scalable and maintainable solutions.
The role requires a strong balance between technical depth, solution design capabilities and stakeholder interaction.
The ideal candidate is
- A senior hands‑on engineer, not a pure architect.
- Comfortable designing and implementing solutions.
- Capable of leading technical delivery teams.
- Able to work directly with business stakeholders when refining requirements.
- Passionate about modern Data & AI technologies.
- Experienced in taking solutions from concept to production.
- Comfortable operating in ambiguous environments and defining implementation approaches.
Experience
- 6+ years of experience in Data Engineering, Analytics Engineering or AI Engineering.
- 3+ years of experience leading technical delivery of Data or AI initiatives.
- Proven experience delivering enterprise‑grade solutions on Snowflake or similar platforms.
Key Responsibilities
Technical Leadership
- Lead the technical implementation of Data &{
