Senior Data Engineer (Databricks)

Artefact
Lausanne +1 more
On-site

Who this role is best for

Best suited to data engineers with strong client advisory skills working in Swiss-based data consulting.

Best fit for

  • Candidates with 5+ years of data engineering experience and a proven ability to advise clients on data platform strategies
    — “Engineer first, consultant second, with a track record of shipping to production.”
  • Individuals who have worked with Databricks in production environments and have experience with cloud platforms like Azure, AWS, or GCP
    — “5+ years in data engineering, including hands-on Databricks experience in production.”

Things to consider

  • Certification in Databricks Data Engineer or commitment to obtain it within six months is mandatory
    — “Databricks Data Engineer Professional certification, or a commitment to obtain it within 6 months (we support you).”
  • The role requires a blend of engineering and consulting, demanding adaptability to client-facing and technical tasks
    — “You will design and deliver the data platforms our clients run their business and their AI on, combining hands-on engineering with client advisory.”

How to stand out

  • Highlight your experience in building end-to-end lakehouse architectures on Databricks in your resume and interviews
    — “Build modern data platforms: End-to-end lakehouse architectures, mainly on Databricks, built for reliability, observability, and cost.”
  • Emphasize your ability to translate business requirements into technical roadmaps and your consulting experience
    — “Advise and support: Translate business needs into roadmaps, coach junior engineers, and support proposals.”
  • Showcase your fluency in English and any additional language skills (French or German) in your application materials
    — “Fluent English plus French or German (both is a plus); eligible to work in Switzerland.”
  • Demonstrate your experience with DataOps practices, including CI/CD, Terraform, and testing
    — “Experience on Azure, AWS, or GCP, plus DataOps (Git, CI/CD, Terraform, testing).”
  • Include examples of data governance and semantic layer implementation in your portfolio or resume
    — “Make data ready for AI: Governed data products and semantic layers that analytics and AI agents can rely on.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • designing and delivering data platforms
  • building end-to-end lakehouse architectures
  • engineering pipelines
  • migrating and modernizing legacy systems
  • making data ready for AI
Typical background
data engineer with hands-on experience in Databricks and cloud platforms

Skills & requirements

Required

Data EngineeringDatabricksPythonSQLSparkData ModelingData GovernanceCI/CDInfrastructure As CodeMonitoringCost ControlClient Advisory

Preferred

SnowflakeMicrosoft FabricBigQuerydbtMlopsConsumer GoodsPharmaLogisticsInsuranceManufacturing

Stack & domain

Data EngineeringDatabricksLakehouse ArchitecturesBatch And Streaming PipelinesPythonSparkSQLData QualityCloud MigrationData GovernanceCI/CDInfrastructure As CodeMonitoringCost ControlRequirements GatheringDocumentationStakeholder ManagementDatabricks Data Engineer Professional CertificationAzureAWSGCPDataopsGitTerraformTestingSnowflakeMicrosoft FabricBigQuerydbtMlopsConsumer GoodsPharmaLogisticsInsuranceManufacturingCommunicationProblem-solvingTeamworkLeadershipProject ManagementRisk ManagementTechnical AnalysisClient ManagementNetwork BuildingPartnership DevelopmentThought Leadership

About the role

Original posting from Artefact via Greenhouse

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. 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.

Source: Artefact careers (Greenhouse)

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