Lead Azure Data Engineer
Location: Basel, Switzerland
Type: Full-Time
Company: Swiss Himmel GmbH
About the Role
Swiss Himmel GmbH is hiring a Lead Azure Data Engineer for a full-time position based in Basel, Switzerland. We are looking for a seasoned data engineering leader with deep expertise in Azure data services and enterprise-scale architecture. If you are passionate about building modern, scalable, and secure data platforms that power actionable business insights, we invite you to join our innovation-driven team.
Key Responsibilities
Azure Data Architecture & Engineering (50%)
- Design and implement scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
- Architect Medallion data lake solutions with ADLS Gen2 and Delta Lake (Bronze/Silver/Gold layers)
- Automate ingestion from hybrid sources using ADF, CDC, and event-based models
- Optimize SQL/NoSQL systems for performance, scalability, and maintainability
- Develop data transformation logic using PySpark, SQL, and Mapping Data Flows
- Build CI/CD pipelines for data using Azure DevOps, ARM templates, Terraform, and YAML
Data Modeling & Analytics Enablement (25%)
- Lead relational/dimensional modeling using star/snowflake schemas
- Design and manage SSAS Tabular Models, complex DAX measures, and semantic layers
- Integrate models into Power BI and Tableau for self-service BI
- Champion data integrity through dictionaries and consistent definitions
Cloud Governance, Security & Monitoring (15%)
- Implement secure Azure environments aligned with GDPR and data privacy standards
- Monitor performance using Azure Monitor, Log Analytics, and Power BI dashboards
- Drive platform cost-efficiency and reliability through smart usage policies
- Support data cataloging and compliance initiatives across departments
Leadership & Collaboration (10%)
- Serve as technical lead for Azure data platform projects
- Mentor team members on cloud-native engineering and automation best practices
- Translate business requirements into scalable technical solutions
- Collaborate with business teams in finance, risk, compliance, and actuarial domains
Required Qualifications
- 15+ years of data engineering experience with strong hands-on delivery
- Expert in Azure ecosystem: ADF, ADLS Gen2, Synapse, Databricks, Azure SQL DB, AAS, Logic Apps, Azure Functions
- Strong SQL (including performance tuning), Python, and Terraform skills
- Deep experience in Power BI, DAX, SSAS Tabular, and CI/CD automation with Azure DevOps
- Proven background in data warehousing (Kimball, Inmon) and dimensional modeling
- Comfortable with high-volume data operations (multi-TB scale) in production
Preferred Certifications
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Administrator Associate
- Databricks Certified Data Engineer
- Power BI or Tableau Certification
- Data Governance (e.g., CDMP) or Security (e.g., CISSP) certifications
- Python and Terraform internal certifications
Ideal Candidate
- Strong background in Azure-based enterprise data platforms
- Familiar with data from banking, financial, or insurance domains in Switzerland
- Excellent problem-solving and stakeholder engagement abilities
- Passion for data quality, automation, and engineering excellence
What Sets This Role Apart
- End-to-end ownership of enterprise-grade data architecture
- Strategic projects in cloud modernization, AI-readiness, and compliance
- Exposure to cutting-edge Azure tools and global clientele
- High visibility, high-impact role with strong growth opportunities
Why Join Swiss Himmel GmbH?
- Be part of a high-performance engineering team driving digital transformation
- Deliver large-scale solutions that directly impact business strategy
- Gain access to the latest Microsoft technologies and certifications
- Enjoy a competitive Swiss compensation package and collaborative work culture
- Work with international clients across industries such as banking, insurance, and fintech
Application Requirements
When applying, please include:
- Detailed examples of Azure-based data projects (e.g., Synapse, ADF, Databricks)
- Metrics or outcomes showcasing your impact in modeling, optimization, or automation
- CI/CD and IaC practices implemented (tools, pipelines, version control)
- Contributions to data governance, security, or compliance frameworks
Swiss Himmel GmbH is committed to diversity and inclusion. We welcome applications from all qualified candidates.