Databricks Platform Engineer — AI‑Ready Data Pipelines

Artefactlinkedin; Vaud; On-site; CHF 120,000 - 180,000; Full time

Job summary

Artefact is a next-generation strategy and data consulting firm with 1,800+ consultants delivering data and AI transformations from Lausanne and Zurich. We seek an experienced Data Engineer to design and deliver the data platforms our clients rely on for business and AI.

You will combine hands-on engineering with client advisory to build lakehouse architectures on Databricks, engineer pipelines, migrate legacy warehouses to the cloud, and ensure data quality and governance for AI-ready insights.

Qualifications

• 5+ years in data engineering, including hands-on Databricks experience in production.
• Expert Python and SQL, with strong Spark and data modeling skills.
• Databricks Data Engineer Professional certification, or a commitment to obtain it within 6 months (we support you).
• Experience on Azure, AWS, or GCP, plus DataOps (Git, CI/CD, Terraform, testing).
• Strong consulting skills: requirements gathering, documentation, stakeholder management.
• Fluent English plus French or German (both is a plus); eligible to work in Switzerland.

Responsibilities

• Build modern data platforms: End-to-end lakehouse architectures on Databricks, focused on reliability, observability, and cost.
• Engineer pipelines: Batch and streaming with Python, Spark, and SQL, with data quality built in.
• Migrate and modernize: Move legacy warehouses and ETL to the cloud, from assessment to cut-over.
• Make data ready for AI: Governed data products and semantic layers for analytics and AI agents.
• Run it properly: Data governance, CI/CD, infrastructure as code, monitoring and cost control.
• Advise and support: Translate business needs into roadmaps, coach junior engineers, and support proposals.

Skills

Python

SQL

Spark

Data modeling

Data engineering

Consulting

English

French

German

Education

Databricks Data Engineer Professional certification

Tools

Databricks

Git

Terraform

Azure

AWS

GCP

Job description

Artefact is a next-generation strategy and data consulting firm with 1,800+ consultants delivering data and AI transformations from Lausanne and Zurich. We seek an experienced Data Engineer to design and deliver the data platforms our clients rely on for business and AI.

You will combine hands-on engineering with client advisory to build lakehouse architectures on Databricks, engineer pipelines, migrate legacy warehouses to the cloud, and ensure data quality and governance for AI-ready insights.