Senior Data Engineer – Databricks, Azure Data Platform

PROSTAFF Schweiz

Senior Data Engineer responsible for building and maintaining a scalable data platform on Databricks. Supporting key processes in the insurance and reinsurance environment with multiple data sources integration.

Posted 7/18/2026full-timeRemote • 🇨🇭 SwitzerlandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data platforms using Databricks on Azure, with a strong focus on data quality, governance, and performance optimization. Proficient in implementing Lakehouse and Medallion Architecture concepts to support advanced analytics and reporting requirements.

Highest-signal resume keywords

Databricks Data Pipeline DevelopmentLakehouse ArchitectureAzure Cloud Data PlatformsData Quality and GovernanceCI/CD for Data Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentLakehouse ArchitectureMedallion ArchitectureData ModellingDatabase DesignPerformance OptimizationData Quality ChecksData IntegrationData GovernanceData Storage Technologies

Soft Skills

Strong Communication SkillsIndependent Working StyleStructured Working Style

Tools & Technologies

DatabricksAzurePower BISAP

Industry Keywords

InsuranceReinsuranceFinanceActuarial

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Support the build-out and further development of a modern data platform in the insurance and reinsurance environment
Help design, build and maintain a scalable data platform based on Databricks on Azure
Centralize fragmented data sources and establish data quality checks
Organize data into meaningful business domains and provide reliable data layers for reporting, applications, analytics and future AI use cases
Build, maintain and optimize data pipelines in Databricks
Design and implement scalable Lakehouse and Medallion Architecture concepts
Structure data into meaningful business domains
Develop and maintain Bronze, Silver and Gold data layers
Create Gold layers to support business use cases, especially applications, reports and analytics
Integrate and process data from multiple source systems, primarily SAP
Implement data quality checks, monitoring and validation mechanisms
Support data modelling, database design, storage concepts and performance optimization
Contribute to governance, security and access management concepts
Support or build CI/CD pipelines for data engineering workflows
Support reporting requirements, most likely with Power BI and/or Databricks
Prepare the data platform for future AI and advanced analytics use cases
Enable easy onboarding of business users onto the data platform
Work closely with infrastructure, architecture, business, reporting and data teams

Requirements

What you’ll need

Several years of experience as a Senior Data Engineer or in a comparable role
Strong experience in building and maintaining data pipelines with Databricks
Solid knowledge of Lakehouse Architecture and Medallion Architecture
Good experience with cloud-based data platforms, ideally on Azure
Strong understanding of data quality, data governance, security and access management
Experience with data modelling, databases, storage technologies and performance optimization
Experience with CI/CD concepts in a data engineering environment
Good knowledge of the Databricks ecosystem and related components
Experience with SAP data sources is a strong advantage
Experience in insurance, reinsurance, finance or actuarial environments is beneficial
Knowledge of Power BI and/or Databricks reporting is an advantage
Ability to structure complex data landscapes and translate them into scalable solutions
Senior, independent and structured working style
Strong communication skills with both technical and business stakeholders.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities