Senior Data Engineer (Databricks)

artefactlinkedin; Lausanne; On-site; CHF 120,000 - 180,000; Full time

Job summary

Artefact is a data and AI consulting firm with offices in Lausanne and Zurich. We seek a senior Data Engineer to build modern data platforms on Databricks, engineer robust data pipelines, and migrate legacy warehouses to the cloud.

You will enable AI-ready data products, govern data imagery for analytics, and contribute to cost-aware data operations while coaching junior engineers and collaborating with stakeholders.

Qualifications

• 5+ years of data engineering experience in production
• Strong Databricks experience in real-world projects
• Expertise with Python, SQL, Spark and data modeling techniques

Responsibilities

• Build modern data platforms: end-to-end lakehouse architectures on Databricks with reliability and cost awareness
• Engineer pipelines: batch and streaming pipelines with Python, Spark and SQL including data quality controls
• Migrate and modernize: move legacy warehouses/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, support proposals

Skills

Databricks

Python

SQL

Spark

Data Modeling

Data Governance

Education

Databricks Data Engineer Certification

Tools

CI/CD

Job description

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.