Senior AI & Data Engineer
Are you a Senior Data Engineer with strong expertise in dbt, Python, and modern cloud data warehouses ? We are looking for an experienced Senior AI & Data Engineer who wants to work at the intersection of data engineering, analytics engineering, and applied AI. This role is particularly suited to someone with a strong consulting background who is comfortable in client-facing environments and skilled at translating complex or ambiguous business requirements into scalable, production-ready data and AI solutions. 💻 About the Role You will design, build, and scale modern data platforms and AI-driven solutions. Your work will range from robust data pipelines and transformation workflows to advanced analytics, machine learning, and emerging AI and agent-based use cases. You will collaborate closely with both technical and business stakeholders and contribute to workshops focused on identifying opportunities where data and AI can create tangible business value. 🔧 Key Responsibilities Design, build, and optimize modern data platforms.
Develop robust and scalable data pipelines and transformation workflows.
Work extensively with dbt , including modular data modeling, macros, and custom materializations.
Develop clean, reusable, production-grade Python code.
Work with BigQuery and/or Snowflake , including architecture and performance optimization.
Implement CI/CD for data, automated testing, and data quality monitoring .
Translate business requirements into structured technical data and AI solutions.
Work closely with clients and stakeholders in dynamic project environments.
Contribute to AI initiatives and identify opportunities for new AI-driven solutions.
✅ Who We Are Looking For 6–7+ years of experience in Data Engineering or Analytics Engineering.
Strong experience in consulting, professional services, or client-facing project environments .
Proven ability to manage stakeholder expectations and deliver solutions in dynamic environments.
Expert-level dbt experience , including modular data modeling, macros, custom materializations, and version-controlled SQL.
Strong professional experience with Python , including clean, reusable, production-grade code.
Experience with testing frameworks such as pytest and dependency management.
Senior-level expertise in BigQuery and/or Snowflake , including architecture and performance optimization.
Experience implementing CI/CD for data, data quality monitoring, and automated testing .
⭐ Nice to Have Experience with Vector Databases , such as Pinecone or pgvector.
Experience building data pipelines for RAG (Retrieval-Augmented Generation) .
Hands-on experience with Airflow, Dagster, or Prefect .
Experience with Apache Spark, PySpark, or Scala .
Experience monitoring and optimizing cloud compute costs and data warehouse spend.
Familiarity with MLOps and platforms such as Vertex AI.
Experience with dbt Semantic Layer or MetricFlow .
Experience with AI/LLM solutions and AI agents.
🌱 The Environment You will join an entrepreneurial and technology-driven environment where technical excellence, business understanding, and innovation go hand in hand. The role offers varied projects, significant ownership, and opportunities to develop across data, AI, and business. 📍 Location: Stockholm 📅 Start: As soon as possible 💼 Scope: Full-time 🏡 Work model: Hybrid / On-site Sway Sourcing är en innovativ rekryteringspartner som specialiserar sig på att matcha rätt talang med rätt företag – snabbt och effektivt. Vårt huvudfokus ligger inom Ekonomi, Administration, HR, Marknad och IT, men vi har även den breda expertis och flexibilitet som krävs för att leverera skräddarsydda rekryteringslösningar inom alla branscher. Trots att vi är en relativt ny aktör har vi redan byggt förtroende hos många av Sveriges största företag och arbetar både nationellt och internationellt. Med baser i Sverige och Spanien erbjuder vi en unik kombination av lokal expertis och global räckvidd. Vårt starka nätverk och djupa branschinsikter gör oss till en självklar partner för företag som vill ligga steget före i sin rekrytering.