Senior Data Engineer (Databricks)

LinkedIn Job Wrapping; Vaud; On-site; CHF 120,000 - 180,000; Full time

Job summary

Artefact is a Swiss-based data and AI consulting firm seeking a Senior Data Engineer to design and deliver client data platforms. You will combine hands-on engineering with advisory work, building modern Databricks lakehouse solutions, pipelines, and governance in a cross-functional environment.

Ideal candidates have 5+ years in data engineering, strong Python/SQL/Spark skills, and Databricks certification or commitment.

Qualifications

• 5+ years of data engineering delivering production-grade data platforms.
• Expert Python and SQL; strong Spark and data modeling skills.
• Databricks Data Engineer Professional certification or commitment to obtain within 6 months.
• Experience on Azure, AWS, or GCP; DataOps and CI/CD, Git, Terraform, testing.
• Strong consulting skills: gathering requirements, documenting work, stakeholder management.
• Fluent English; French or German is a plus; eligible to work in Switzerland.

Responsibilities

• Design and deliver data platforms for clients, combining hands-on engineering with advisory.
• Build modern data platforms: lakehouse architectures on Databricks with reliability and cost control.
• Engineer batch and streaming pipelines using Python, Spark, and SQL with built-in data quality.
• Migrate legacy warehouses and ETL to the cloud from assessment to cut-over.
• Prepare data for AI with governed data products and semantic layers.
• Ensure governance, CI/CD, infrastructure as code, monitoring, and cost control.
• Translate business needs into roadmaps, coach junior engineers, and support proposals.

Skills

Databricks experience

Python

SQL

Spark

Data modeling

Consulting

Git

CI/CD

Terraform

Testing

Fluent English

Tools

Databricks

Azure

AWS

GCP

Git

CI/CD

Terraform

Testing

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

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.