Senior Data Engineer (Databricks)

artefactjobs; Lausanne; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Artefact, with offices in Lausanne and Zurich, is hiring a Data Engineer to build modern data platforms on Databricks, engineer production-grade pipelines, and migrate legacy warehouses to the cloud. You will translate business needs into roadmaps, coach junior engineers, and support proposals.

Ideal candidates have 5+ years in data engineering, Databricks in production, expert Python and SQL, and cloud experience (Azure/AWS/GCP). Fluent English; French or German a plus.

Qualifikationen

• 5+ years in data engineering with hands-on Databricks production experience.
• Strong Python and SQL skills with Spark and data modeling.
• Databricks Data Engineer Professional certification or commitment to obtain it within 6 months.

Aufgaben

• Build modern data platforms and end-to-end lakehouse architectures on Databricks.
• Engineer batch and streaming pipelines with Python, Spark, and SQL.
• Migrate and modernize data warehouses and ETL to the cloud, from assessment to cut-over.

Kenntnisse

Python

SQL

Spark

Data modeling

Stakeholder management

Ausbildung

Databricks Data Engineer Professional certification

Tools

Databricks

Azure

AWS

GCP

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'Oréal, 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

• 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.