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Senior Data Engineer (m/w/d) - Job Opportunity at bruederlinpartner Gruppe

Solothurn, Switzerland
Full-time
Senior
Posted: July 29, 2025
On-site
CHF 130,000 per year

Benefits

Comprehensive career consultation and guidance through specialized recruitment partnership providing personalized job market navigation
Access to exclusive employer network across Switzerland through established industry connections facilitating direct introductions to potential employers
Professional representation to client companies enhancing candidate positioning and interview success rates
Dedicated personal consultant support throughout the entire job search and placement process
Access to innovative software tools providing comprehensive market overview and job matching capabilities
Family-owned company stability with over 20 years of specialized expertise in technical recruitment
Intensive candidate selection process ensuring quality job matches and reduced competition

Key Responsibilities

Design and develop next-generation data platform architecture in Azure Cloud environment driving organizational digital transformation and competitive advantage
Create sophisticated data models aligned with analytical requirements and use cases enabling strategic business intelligence and data-driven decision making
Architect and structure enterprise data assets using cutting-edge cloud and big data technologies establishing scalable foundation for business growth
Integrate diverse data sources and develop complex transformation workflows ensuring seamless data flow and accessibility across organizational systems
Lead specialized technical initiatives in agile environment with ownership of critical enterprise components including Data Warehouse, Data Lake, and overall data architecture strategy

Requirements

Education

Fach-/Hochschulabschluss als Informatiker oder eine vergleichbare Ausbildung

Experience

Very good experience with cloud technologies and solid knowledge of data modeling and big data architectures

Required Skills

Sehr gute Erfahrung mit Cloud-Technologien (idealerweise in der Azure Cloud mit Data Lake Storage, Data Factory, Event Hub und Azure DevOps) Solide Kenntnisse von Datenmodellierungs-, Datenspeicherungs- und Datenzugangstechniken mit Erfahrung in Big-Data-Architekturen und Integrationsmodellen Sehr gute Programmierkenntnisse in Python, Java oder Scala sowie SQL Gute Arbeitserfahrung mit dezentralen Systemen und Beherrschung von Tools wie Apache Spark, Apache Flink oder Apache Beam Sehr gute Deutschkenntnisse
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Sauge AI Market Intelligence

Industry Trends

Swiss financial services and manufacturing sectors are undergoing massive digital transformation initiatives, creating unprecedented demand for senior data engineers capable of architecting cloud-native data platforms that can handle complex regulatory requirements while enabling real-time analytics and AI-driven insights. The European data landscape is being reshaped by GDPR compliance requirements and emerging AI regulations, positioning data engineers with strong governance and architectural skills as critical strategic assets for organizations navigating the complex intersection of data utility and regulatory compliance. Azure Cloud adoption in Switzerland has accelerated dramatically, with enterprises seeking senior data engineers who can leverage the full Microsoft ecosystem including Power BI, Azure Machine Learning, and Fabric to create integrated data and analytics solutions that drive competitive advantage in traditional industries.

Salary Evaluation

The CHF 130,000 annual salary is competitive and well-positioned within the Swiss market for senior data engineers, representing approximately the 60th percentile for this role level in the Solothurn region. This compensation reflects strong demand for Azure expertise and German language proficiency, with potential for 10-15% increases based on specialized skills in emerging technologies like Azure Synapse Analytics or real-time streaming architectures.

Role Significance

Likely leading a team of 3-5 data engineers and analysts while collaborating with cross-functional teams of 15-20 professionals including data scientists, business analysts, and DevOps engineers in a matrix organizational structure typical of mid-to-large Swiss enterprises.
This senior-level position represents a strategic technical leadership role with significant architectural decision-making authority, typically reporting to Head of Data or CTO level executives and serving as the primary technical expert for enterprise data platform initiatives that directly impact organizational competitive positioning.

Key Projects

Enterprise data warehouse modernization initiatives involving migration of legacy systems to cloud-native Azure architectures with estimated project values of CHF 2-5 million Real-time analytics platform development supporting business-critical operations such as financial risk management, supply chain optimization, or customer experience enhancement Data governance and compliance framework implementation ensuring adherence to Swiss banking regulations, GDPR, and emerging AI governance requirements

Success Factors

Demonstrated ability to architect and implement enterprise-scale data platforms that balance technical innovation with regulatory compliance requirements, particularly important in Switzerland's highly regulated business environment where data security and governance are paramount to organizational success. Strong stakeholder management and communication skills enabling effective collaboration between technical teams and business executives, crucial for translating complex data architecture decisions into business value propositions and securing ongoing investment in data initiatives. Deep expertise in Azure Cloud ecosystem combined with practical experience in agile methodologies, essential for delivering iterative value while maintaining architectural coherence across complex, multi-year digital transformation programs. Cultural adaptability and language proficiency enabling seamless integration into Swiss business culture while effectively communicating technical concepts to diverse international teams common in Switzerland's multinational corporate landscape.

Market Demand

Exceptionally high demand driven by Switzerland's position as a global financial hub undergoing digital transformation, combined with a critical shortage of German-speaking senior data engineers with proven Azure Cloud expertise and enterprise-scale data architecture experience.

Important Skills

Critical Skills

Azure Cloud platform expertise is absolutely essential as Swiss enterprises rapidly migrate from on-premises systems to cloud-native architectures, with particular emphasis on Azure Data Factory, Data Lake Storage, and Event Hub technologies that form the backbone of modern data platforms in regulated industries. Python and SQL programming proficiency represents the foundation for all data engineering activities, with Python's versatility in data processing, machine learning integration, and automation making it indispensable for senior-level responsibilities in enterprise data environments. Enterprise data architecture experience is crucial for designing scalable, secure, and compliant data systems that can evolve with business needs while maintaining performance and governance standards required in Switzerland's risk-averse business culture.

Beneficial Skills

Apache Spark and distributed computing expertise becomes increasingly valuable as organizations handle larger data volumes and require real-time processing capabilities for competitive advantage in fast-moving markets DevOps and infrastructure-as-code skills complement data engineering expertise by enabling more efficient deployment and management of data platforms, particularly important in agile development environments Business domain knowledge in financial services, manufacturing, or healthcare provides significant advantage given Switzerland's concentration of global leaders in these sectors and their specific data challenges and regulatory requirements

Unique Aspects

Direct placement opportunity in Solothurn region, offering access to Switzerland's industrial heartland where major manufacturing and engineering companies are investing heavily in digital transformation and Industry 4.0 initiatives
Specialized recruitment process focusing exclusively on senior technical roles, ensuring higher quality candidate experience and more targeted job matching compared to generalist recruitment approaches
Access to proprietary software tools and market intelligence providing comprehensive visibility into Swiss technical job market trends and salary benchmarking data
Family-owned consultancy model offering more personalized and relationship-focused placement experience compared to large international recruitment firms operating in Switzerland

Career Growth

Progression to senior leadership roles typically occurs within 3-5 years given Switzerland's competitive talent market and the critical nature of data engineering expertise to organizational digital transformation initiatives.

Potential Next Roles

Head of Data Engineering or Chief Data Officer positions within 3-4 years, particularly attractive in Switzerland's banking and pharmaceutical sectors where data leadership roles command CHF 180,000-250,000 annually Principal Data Architect or Distinguished Engineer roles at major consulting firms or technology companies, offering opportunities to shape data strategies across multiple client organizations Technical Co-founder or CTO positions at Swiss fintech or biotech startups, leveraging the country's strong venture capital ecosystem and favorable regulatory environment for data-driven innovations

Company Overview

bruederlinpartner Gruppe

bruederlinpartner Gruppe operates as a specialized family-owned recruitment consultancy with over 20 years of market presence, focusing exclusively on technical and leadership placements within Switzerland's competitive talent market. Their Digital Engineering division represents a strategic response to the growing demand for specialized technical roles, particularly in data engineering, cloud architecture, and digital transformation initiatives.

Established as a mid-tier specialized recruitment firm with strong regional presence in German-speaking Switzerland, competing effectively against larger international recruitment agencies through deep local market knowledge and personalized service delivery that resonates with Swiss business culture's emphasis on relationship-based partnerships.
Strong positioning in the Solothurn region and broader Swiss market, particularly valuable given Switzerland's decentralized business landscape where local relationships and cultural understanding often outweigh global brand recognition in technical recruitment scenarios.
Family-owned business culture emphasizing long-term relationships and personalized service delivery, reflecting Swiss business values of reliability, precision, and trust-based partnerships that are particularly important when placing senior technical professionals in critical organizational roles.
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Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

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Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.