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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing scalable and secure data platforms, with strong capabilities in data engineering, data warehousing, and cloud data architecture. Proficient in programming languages such as SQL and Python, and experienced in collaborating with cross-functional teams to deliver automated data integration solutions.
Highest-signal resume keywords
Data EngineeringData WarehousingCloud Data ArchitectureSQLPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IntegrationAutomated SolutionsData PlatformsData PipelinesInfrastructure Automation
Soft Skills
Consulting ExperienceClient CollaborationEnthusiasm
Tools & Technologies
Apache AirflowDbtKubernetesTerraformAnsibleNiFiKafka
Industry Keywords
Data ArchitectureAnalytics ArchitectureInfrastructure-as-Code
Tech Stack
Tools & technologiesAirflowAnsibleApacheCloudKafkaKubernetesPythonSQLTerraform
About the role
Key responsibilities & impact- Develop scalable and secure data platforms for clients
- Support projects from architecture through hands-on implementation
- Advise on technology decisions
- Design modern data and analytics architectures
- Analyze requirements and develop scalable, automated solutions for data integration and processing
- Deliver hands-on implementation of data platforms, pipelines, and infrastructure automation
- Collaborate with data science, analytics, and IT teams
- Develop best practices and reusable solution components across projects
Requirements
What you’ll need- Degree in Computer Science, Business Information Technology, or a related field (university of applied sciences, university, or ETH), or a degree in Business Administration/Economics with a strong technical aptitude
- Excellent German and English skills
- Enthusiasm for combining technical expertise with consulting experience and direct collaboration with clients
- Experience in data engineering, data warehousing, or cloud data architecture
- Good knowledge of programming and query languages, particularly SQL and Python
- Experience with technologies such as Apache Airflow and dbt, or similar tools
- Initial experience with Kubernetes, particularly in deploying and managing applications, is desirable
- Experience with infrastructure-as-code tools such as Terraform, Ansible, or comparable technologies is an advantage
- Knowledge of NiFi and Kafka is an advantage
Benefits
Comp & perks- Opportunity to work from one of our offices in Switzerland or remotely from home
- Flexible working hours
- Pleasant working environment
- Financial benefits
- Exciting opportunities for professional development
- Exposure to agile working methods and the latest technologies