Senior Data Engineer (Databricks)

Artefact; Lausanne; Vor Ort; CHF 130.000 - 170.000; Vollzeit

Zusammenfassung

Artefact is a leading data and AI consultancy with Lausanne and Zurich offices, delivering end-to-end data platforms and AI readiness for global clients. The team combines hands-on engineering with client advisory to build scalable lakehouse architectures on Databricks, and to migrate warehouses to the cloud.

We seek engineers with 5+ years in data engineering, strong Python/SQL and Spark skills, and cloud experience (Azure/AWS/GCP).

Qualifikationen

• 5+ years in data engineering.
• Expert Python and SQL, with strong Spark and data modeling skills.
• Databricks Data Engineer Professional certification, or commitment to obtain it within 6 months.
• 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; eligible to work in Switzerland.

Aufgaben

• Build modern data platforms: End-to-end lakehouse architectures, mainly on Databricks, built for reliability, observability, and cost.
• Engineer pipelines: Batch and streaming pipelines 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 that analytics and AI agents can rely on.
• 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.

Kenntnisse

Python

SQL

Spark

Data modeling

Data governance

Stakeholder management

Fluent English

Ausbildung

Databricks Data Engineer Professional certification

Tools

Databricks

Azure

AWS

GCP

Git

Terraform

CI/CD

Jobbeschreibung

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm that transforms organizations through data and AI. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L'Oreal, Orange, and Sanofi. From our Lausanne and Zurich offices, we help leading Swiss and international companies turn data and AI into measurable results, working with the leading data platforms, including Databricks.

Main Responsibilities

You will design and deliver the data platforms our clients run their business and their AI on, combining hands-on engineering with client advisory.

• Build modern data platforms: End-to-end lakehouse architectures, mainly on Databricks, built for reliability, observability, and cost.
• Engineer pipelines: Batch and streaming pipelines 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 that analytics and AI agents can rely on.
• 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.

Candidate Profile

Engineer first, consultant second, with a track record of shipping to production.

• 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.

Nice to have: Experience with other data platforms (Snowflake, Microsoft Fabric, BigQuery), dbt, MLOps, and industry experience (consumer goods, pharma, logistics, insurance, manufacturing).

Why Join Us

• Strategy with a Data Edge: Build the platforms behind boardroom priorities.
• Swiss Impact: High visibility from day one on flagship programs, working directly with senior leadership.
• Strong Tech Ecosystem: Certified peers across Artefact and close partnerships with leading data and cloud platforms.
• Growth and Culture: Certifications, training, international missions, and a team of doers who move fast and support each other.

If you don't meet 100% of the criteria, we still want to hear from you. Tell us about your passion, curiosity, and impact.