Design, build, and scale modern data platforms and AI-driven solutions.
Operate at the intersection of data engineering, analytics engineering, and applied AI.
Leverage robust data pipelines and transformation workflows to enable advanced analytics, machine learning, and emerging AI agent use cases.
Collaborate with internal AI Forum on the business side to conduct workshops and identify AI possibilities for mid-to-large size clients.
Bridge the gap between Software Engineering and Advanced Data Science.

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.
Deep experience in modular data modeling, including macros, custom materializations, and version-controlled SQL.
Ability to write clean, reusable code (not just scripts) using testing frameworks like pytest and dependency management.
Senior-level expertise in BigQuery or Snowflake, with a strong focus on architecture and performance optimization.
Experience implementing CI/CD for data, data quality monitoring, and automated testing.
Experience with Vector Databases (e.g., Pinecone, pgvector) and building data pipelines for RAG (Retrieval-Augmented Generation).
Hands-on experience with Airflow, Dagster, or Prefect for complex workflow management.
Experience with Apache Spark (PySpark/Scala) for handling large-scale, decentralized data.
A track record of monitoring and optimizing cloud compute costs and warehouse spend.
Familiarity with Vertex AI or similar platforms for managing the machine learning lifecycle.
Experience defining metrics and business logic via the dbt Semantic Layer or MetricFlow.

Ownership & Equity: We combine the impact of high-level consulting with the strategic upside of venture capital.
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.
Community: We are a dog-friendly office (Barkend developers welcome!) that loves spending time together through Hackathons, After Works, and communal lunches.
Balance: We respect that everyone is in different stages of life. Your well-being and work-life balance are top priorities.
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.

Data Engineer, AI

Key skills