Senior Data Engineer (Databricks)

Posted 2 Days Ago
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Lausanne, Waadt, CHE
In-Office
Senior level
Artificial Intelligence • Consulting
The Role
Design and deliver production-grade Databricks lakehouse platforms, batch and streaming pipelines, cloud migrations, governed data products, and AI-ready semantic layers. Implement data governance, CI/CD, infrastructure as code, monitoring, testing, and cost controls. Advise clients, translate business requirements into roadmaps, support proposals, and coach junior engineers.
Summary Generated by Built In

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.

Skills Required

  • 5+ years of data engineering experience
  • Hands-on Databricks experience in production
  • Expert Python and SQL skills
  • Strong Apache Spark and data modeling skills
  • Databricks Data Engineer Professional certification or commitment to obtain it within six months
  • Experience with Azure, AWS, or Google Cloud Platform
  • Experience with DataOps, Git, CI/CD, Terraform, and testing
  • Consulting skills, including requirements gathering, documentation, and stakeholder management
  • Fluent English plus French or German
  • Eligible to work in Switzerland
  • Experience with Snowflake, Microsoft Fabric, BigQuery, dbt, MLOps, or relevant industry experience

Artefact (artefact.com) Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Artefact (artefact.com) and has not been reviewed or approved by Artefact (artefact.com).

  • Leave & Time Off Breadth — Time‑off structures such as RTT days in France and extra holidays in Germany are highlighted, indicating generous leave in several European offices.
  • Healthcare Strength — France’s supplemental health insurance (mutuelle) is described as solid, while Germany references mental‑health initiatives and company pension options that strengthen core coverage.
  • Wellbeing & Lifestyle Benefits — Meal vouchers, transport reimbursement, CSE discounts, fitness perks such as ClassPass‑style programs, and a Paris gym are cited alongside flexible or hybrid work in some regions.

Artefact (artefact.com) Insights

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The Company
HQ: Paris
1,637 Employees
Year Founded: 2014

What We Do

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain. Our 1500 employees operate in 23 countries (Europe, Americas, Asia, Middle East Africa) and we partner with 1000 clients, including 300 major brands like Samsung, L’Oréal, Orange and Sanofi. We provide customized services from strategy to operations: data strategy, data quality and governance, data platforms, AI factories, demand forecasting, data marketing & sales, AI for call centers, Data & AI School, specialized by industry sectors with dedicated consultancy and technology support

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