AI - Data Engineer

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?

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.

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.

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.

• 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.

• AI & LLM Foundations: Experience with Vector Databases (e.g., Pinecone, pgvector) and building data pipelines for RAG

(Retrieval-Augmented Generation).

• 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.