Описание

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.

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.

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

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.

Senior Data Engineer (Databricks)