About this role
At Solvership , we help companies turn complex data challenges into clear business value. Our focus is simple: we make data work .
We deliver precise, reliable, and high-impact Data & AI solutions that create measurable results. With deep expertise and a practical approach, we’ve become a trusted reference point for organizations looking to turn data into real business advantage.
For us, data isn’t just information – it’s an opportunity. And we make sure it delivers.
We’re growing our Data & AI team – a compact, senior crew made up of a Tech Lead, Data Engineers, a Data Scientist, and a Business Analyst – and looking for a Data Engineer with a strong DevOps mindset who’s just as comfortable designing a data pipeline as they are working with LLM APIs, containers, and cloud infrastructure. If you like owning problems end-to-end and enjoy the mix of data engineering, infrastructure, and applied AI, this role is for you.
What we are looking for:
- 3–5+ years of professional experience as a Data Engineer, with hands-on exposure to DevOps/Infrastructure and the AI/LLM ecosystem
- Strong data engineering fundamentals – building data pipelines, event-driven streaming, relational database design, data modeling, and query optimization
- Experience with a major cloud platform (AWS, GCP, or Azure), plus solid Docker and Kubernetes skills in production settings
- A solid Python foundation, with experience building modern, asynchronous REST APIs (FastAPI preferred)
- Practical experience with LLM APIs, agentic workflows, MCP servers, and vector databases
- A self-reliant mindset – comfortable with loose specifications, prototyping solutions, and owning your deliverables
- Good grounding in standard software practices, including Git and automated CI/CD pipelines
A plus would be if you have:
- Experience with an LLM orchestration framework (e.g., LangChain, LlamaIndex, or similar)
- Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or similar)
- Experience working in a fast-paced, AI-focused product or engineering team
- Relevant cloud certifications (AWS, GCP, or Azure)
Your role at Solvership:
- Joining weekly meetings with the AI team for planning, brainstorming, and resource allocation
- Regular sync-ups with project teams to align on specifications and development status
- Close cooperation with the Tech Lead on design, architecture, DevOps practices, and tackling the trickier challenges
- Building and optimizing data pipelines, modeling data, and writing efficient SQL queries
- Designing and developing modern, asynchronous REST APIs
- Working with LLM APIs, building agentic workflows, implementing MCP servers, and working with vector databases
- Containerizing and deploying services (Docker, Kubernetes) and maintaining CI/CD pipelines across cloud environments
- Documenting technical solutions and writing automated tests
Why Solvership?
- Dive into cutting-edge technology, supported by a personalized development plan that evolves with you, along with a dedicated budget to fuel your continuous learning
- Collaborate with some of the brightest minds in the industry, where innovation and expertise drive every project forward
- Work on exciting, high-impact projects across a range of industries, from banking to telco, healthcare, retail to tech and beyond
- We’re all about your career growth! From a structured mentoring process to a dedicated education budget, you’ll have access to internal courses and a top-notch tech stack to fuel your development
- Enjoy the freedom to work your way, with flexible hours and the option to work from home. From day one, you’ll be matched with a mentor dedicated to supporting your growth
- Health checks, team activities, PassSport, language courses, paid time off, a referral bonus, and a fair, transparent salary system
Join Solvership and help build the infrastructure behind real-world AI!