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- Aufgaben: Join our team to develop and operate data platforms that support groundbreaking research.
- Arbeitgeber: Be part of the Swiss National Science Foundation, promoting top-tier research in Switzerland.
- Mitarbeitervorteile: Enjoy a central location, great public transport, and targeted development opportunities.
- Warum dieser Job: Make an impact by translating business needs into technical solutions in a collaborative environment.
- Gewünschte Qualifikationen: Degree in IT or relevant experience; strong SQL skills and knowledge of data modeling required.
- Andere Informationen: Position starts on 1.04.2025; permanent role with a focus on continuous learning.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Thousands of researchers receive financial support from the SNSF to study nature, technology and society. Their findings provide a basis for progress and prosperity. Our task is to select the best ideas at national level based on a competitive process. We are committed to promoting Switzerland as a top-tier research location and to communicating the value of research for society. Why not join our team and be a part of this? For the Data Systems & Services Team we are looking for an experienced
Software Engineer – Business Intelligence
- Set up, further develop and operate the SNSF data platforms
- Develop and maintain the new enterprise-wide Data Warehouse
- Operate, further develop and support (2nd/3rd level) the data platform services
- Provide internal consulting for data architecture & reporting
- Be responsible for and collaborate in the evaluation, introduction and operation of development tools, methods and techniques
- Develop ETL/ELT pipelines and Data Models, as well as Power BI Datasets and reports
- Coordinate workshops with users and stakeholders to gather business and technical requirements for reports and the data warehouse
- Define the solution and data architecture, as well as write technical specifications
- Integrate new source systems into the data hub
- Act as Deputy Product Owner Data Systems & Services
Your profile
- Degree in business information technology, computer science, BWL, similar education or proven track record in a relevant role
- Sound knowledge in data modelling (3NF, star schema) and ETL/ELT pipelines
- Proficient in SQL and experienced in developing reports (eg. in Power BI, Tableau, Looker etc.)
- Ability to translate different business requirements into technical specifications and Jira Tickets
- Sound knowledge of agile methodology like SCRUM and other relevant sets of best practices
- Solid knowledge of Git, branching strategies and concepts like CI/CD
- Nice to have: knowledge in one of the following products or technologies: Databricks, DBT, Data Factory, Python, MS Fabric; experience in working with APIs
- Willingness and ability to learn and understand complex business processes
- Team language is English, good skills in German or French are highly welcome
We offer
- A central location with good public transport connections
- Above-average social security contributions
- Individual and targeted development opportunities
Entry & Term
Starting date: 1.04.2025 or by agreement. The position is permanent.
Contact
Michael Sägesser, Head of IT Client, Platform & Core Security Services, +41 31 308 24 82
Delia Weber, Recruitment Manager, Email:
We look forward to receiving your complete online application!
Swiss National Science Foundation (SNSF)
Wildhainweg 3
P.O. Box
CH-3001 Bern
Tel. +41 31 308 22 22
#J-18808-Ljbffr
Software Engineer - Business Intelligence Arbeitgeber: Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung
Kontaktperson:
Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Software Engineer - Business Intelligence
✨Tip Number 1
Familiarize yourself with the specific data platforms and tools mentioned in the job description, such as Power BI, SQL, and ETL/ELT pipelines. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during the interview process.
✨Tip Number 2
Brush up on your knowledge of agile methodologies, particularly SCRUM. Being able to discuss how you've applied these practices in previous roles will demonstrate your ability to work effectively within their team structure.
✨Tip Number 3
Prepare to discuss your experience with data modeling and how you've translated business requirements into technical specifications. Real-world examples will help illustrate your problem-solving skills and technical expertise.
✨Tip Number 4
Since the team language is English, but good skills in German or French are welcomed, consider brushing up on your language skills. Being able to communicate effectively in multiple languages can be a significant advantage in this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Software Engineer - Business Intelligence
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Software Engineer - Business Intelligence position. Understand the key responsibilities and required skills, such as data modeling, ETL/ELT pipelines, and proficiency in SQL.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that match the job requirements. Emphasize your knowledge of data architecture, reporting tools like Power BI, and any experience with agile methodologies.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for the role. Mention your passion for data systems and how your background aligns with the SNSF's mission to support research in Switzerland.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Prepare examples of past projects where you developed ETL pipelines or worked with data visualization tools, and be ready to explain your approach to problem-solving.
Wie du dich auf ein Vorstellungsgespräch bei Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung vorbereitest
✨Understand the Business Intelligence Landscape
Make sure you have a solid grasp of Business Intelligence concepts, especially around data modeling and ETL/ELT pipelines. Be prepared to discuss how these concepts apply to the SNSF's mission and how you can contribute to their data platforms.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in SQL and any reporting tools you've used, like Power BI or Tableau. You might be asked to solve a technical problem or explain your approach to developing reports, so practice articulating your thought process.
✨Familiarize Yourself with Agile Methodologies
Since the role involves working within an agile framework, brush up on SCRUM principles and be prepared to discuss your experience with agile practices. Highlight any relevant projects where you successfully applied these methodologies.
✨Prepare for Collaboration Scenarios
The position requires internal consulting and collaboration with users and stakeholders. Think of examples from your past experiences where you effectively gathered requirements or coordinated workshops, and be ready to share those stories during the interview.
