Senior Data Engineer – Databricks / Azure Data Platform
New
P
PROSTAFF Schweiz GmbHInsurance and reinsurance
Source API remote eligibility restrictions: SwitzerlandFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Several years of experience as a Senior Data Engineer or in a comparable role
- Required Skills
- Microsoft Power BISAPAzureCI/CDData modelingDatabricks
Requirements
- Several years of experience as a Senior Data Engineer or in a comparable role.
- Strong experience building and maintaining data pipelines with Databricks.
- Solid knowledge of Lakehouse Architecture and Medallion Architecture.
- Experience with cloud-based data platforms, ideally 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.
- Ability to structure complex data landscapes and translate them into scalable solutions.
- Work independently and in a structured manner, communicating with technical and business stakeholders.
Responsibilities
- Build, maintain, and optimize data pipelines in Databricks.
- Design and implement scalable Lakehouse and Medallion Architecture concepts.
- Structure data into meaningful business domains and develop Bronze, Silver, and Gold data layers.
- Create Gold layers for 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 and reporting requirements, most likely with Power BI and/or Databricks.
- Work with infrastructure, architecture, business, reporting, and data teams to onboard business users and prepare the platform for AI and advanced analytics.
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