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ABOUT THE ROLE
We are looking for a Senior Data / AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. You will
operate at the intersection of data engineering, analytics engineering, and applied AI - leveraging robust data pipelines and
transformation workflows to enable advanced analytics, machine learning, and emerging AI agent use cases.
This role is especially well-suited for someone with a strong consulting background who is comfortable working in client-facing
environments, translating ambiguous business requirements into structured, production-ready data and AI solutions.
Do you want the unique possibility to invest in the next generation of tech startups while building large-scale solutions for
mid-to-large enterprises?
Then VNTRS might be the right fit for you!
Location: Stockholm (Onsite/Hybrid)
YOUR IMPACT: BUILDER & INVESTOR
At VNTRS, you are more than an engineer; you are a builder and an investor.
Ownership & Equity: We combine the impact of high-level consulting with the strategic upside of venture capital. Through our
unique model, you gain ownership in the companies we support, becoming a shareholder in our diverse portfolio of over 35 ventures.
The Investment Council: You’ll have the opportunity to join our Investment Council and help decide which startups we back next.
AI Strategy & Workshops: Beyond pure engineering, you will help our internal AI Forum on the business side - conducting workshops
and identifying AI possibilities for our mid-to-large size clients.
The Role: Tech & Innovation
You will join a collaborative group of experts dedicated to high-quality code and modern solutions. In this role, you will bridge
the gap between Software Engineering and Advanced Data Science.
TECHNICAL REQUIREMENTS
Must-haves:
- Consulting Experience: 6-7+ years of experience in data engineering or analytics engineering, with a strong track record in
consulting, professional services, or client-facing project work. Proven ability to manage stakeholder expectations and deliver
solutions in dynamic environments.
- Expert-level dbt: Deep experience in modular data modeling, including macros, custom materializations, and version-controlled
SQL.
- Production-grade Python: Ability to write clean, reusable code (not just scripts) using testing frameworks like pytest and
dependency management.
- Modern Cloud Warehousing: Senior-level expertise in BigQuery or Snowflake, with a strong focus on architecture and performance
optimization.
Preferred skills:
- AI & LLM Foundations: Experience with Vector Databases (e.g., Pinecone, pgvector) and building data pipelines for RAG
(Retrieval-Augmented Generation).
CULTURE & PEOPLE
Our culture is built on our values: Adventurous, Caring, and Inspiring.
- Community: We are a dog-friendly office (Barkend developers welcome!) that loves spending time together through Hackathons,
After Works, and communal lunches.
- Growth Mindset: You own your trajectory: we simply provide the space and resources for you to master new tech, sharpen your
business acumen, and evolve far beyond just your technical field.
Ready to build the future of AI and data with us?