AI - Data Engineer

Vntrs Consulting AB; Stockholms kommun; Hybrid; SEK 650,000 - 900,000; Full time

Benefits offered by this job

Ownership in ventures

Dog-friendly office

Community events

Job summary

Vntrs Consulting AB is looking for a Senior Data / AI Engineer in Stockholm to design and build modern data platforms and AI-driven solutions. The successful candidate will bridge the gap between software engineering and advanced data science, bringing extensive consulting experience and expert-level skills in dbt and cloud warehousing. This role also offers the opportunity to invest in tech startups. Employees enjoy a supportive culture with a focus on work-life balance, community activities, and personal growth.

Qualifications

• 6-7+ years of experience in data engineering or analytics engineering, with a strong track record in consulting.
• Expert-level dbt experience in modular data modeling.
• Production-grade Python coding with knowledge of testing frameworks.
• Senior-level expertise in BigQuery or Snowflake.
• Experience implementing CI/CD for data and data quality monitoring.

Responsibilities

• Design, build, and scale modern data platforms and AI-driven solutions.
• Operate at the intersection of data engineering, analytics engineering, and applied AI.
• Bridge the gap between Software Engineering and Advanced Data Science.

Job description

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.

• Data Engineering Best Practices: Experience implementing CI/CD for data, data quality monitoring, and automated testing.

Preferred skills:

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

• Advanced Orchestration: Hands‑on experience with Airflow, Dagster, or Prefect for complex workflow management.

• Distributed Processing: Experience with Apache Spark (PySpark/Scala) for handling large‑scale, decentralized data.

• FinOps Mindset: A track record of monitoring and optimizing cloud compute costs and warehouse spend.

• MLOps: Familiarity with Vertex AI or similar platforms for managing the machine learning lifecycle.

• Semantic Layer: Experience defining metrics and business logic via the dbt Semantic Layer or MetricFlow.

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.
• 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.