Lead Azure Data Engineer

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.