Auf einen Blick
- Aufgaben: Own and enhance data products, collaborating with teams to drive value and improve processes.
- Arbeitgeber: Join Sonar, a global leader in code quality solutions with a dynamic, inclusive culture.
- Mitarbeitervorteile: Enjoy flexible work options, a supportive environment, and opportunities for continuous learning.
- Warum dieser Job: Make a real impact on product development while working with passionate professionals in a friendly atmosphere.
- Gewünschte Qualifikationen: Experience in data modeling, SQL, and product management; knowledge of dbt and visualization tools is a plus.
- Andere Informationen: Embrace a culture that values respect, kindness, and the right to fail and learn.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Why should I Apply:
At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.
We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.
The Impact you can have
We want to make the best decisions possible for our products and to do that, we need to make data-driven decisions.
To achieve this goal, we are looking for a talented Data Product Owner – you! – to join the Data team.
Together, we will make SonarSource’s products the undisputed world-leading code remediation solution!
This means:
- Deliver domain data products to be consumed by multiple Sonar’s teams as well as our users, the developers
- Increase the value of the data products over time and maintain their life cycle
- Help improve the team’s effectiveness by challenging and continuously improving existing processes, designs, and engineering practices
On a daily basis you will,
- Take ownership of the data of the product domain you are assigned to
- For each new product feature, you will work with the development teams to figure out what data could be produced, and who will be your data consumers
- Create the domain’s data products following Data Mesh principles and be accountable for them in delivering value, satisfying, and growing the data users
- Create the dbt models that will sustain your data products
- Create the Dashboards the product teams need
- Perform the data analysis requested by your domain
- Collaborate strongly with the Data Platform team and the other Data Products Owners to improve the data platform and share best practices
The skills you will demonstrate
- You have a solid experience in data modeling, SQL queries, dashboarding, data lake, etc. Knowledge of dbt is a plus.
- You see yourself as a data promoter. You are motivated by both technical and functional aspects of data-related topics.
- You are a friendly, enthusiastic, and organized team player. You actively share your knowledge and give and receive feedback to improve the team and yourself.
- Proficient in visualization tools such as Tableau or AWS Quicksight, for example.
- Experience in software product management, preferably in an agile context.
- Knowledge in Python, Git, Jupyter and data analysis.
- Hands-on experience with Domain Driven Design, Data Mesh, and Data Products is a strong asset.
- You are fluent in English, both written and spoken.
Why you will love it here:
- Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.
- We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!
- We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office – Monday/Tuesday/Thursday).
- We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we’re happy to help our team acquire them.
We prioritize Diversity, Equity, and Inclusion:
At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures. We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.
Please note that applications submitted through agencies or third-party recruiters will not be considered.
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Data Product Owner Arbeitgeber: Sonar

Kontaktperson:
Sonar HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Product Owner
✨Tip Number 1
Familiarize yourself with Data Mesh principles and how they apply to product ownership. Understanding this concept will help you demonstrate your alignment with Sonar's approach to data products during the interview.
✨Tip Number 2
Showcase your experience with SQL and data modeling by preparing examples of past projects where you successfully delivered data products. This will highlight your technical skills and your ability to create value from data.
✨Tip Number 3
Be ready to discuss your experience with visualization tools like Tableau or AWS Quicksight. Prepare to explain how you've used these tools to create impactful dashboards that drive decision-making.
✨Tip Number 4
Emphasize your collaborative skills and your experience working in agile environments. Sonar values teamwork, so be prepared to share examples of how you've effectively worked with cross-functional teams to achieve common goals.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Product Owner
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of a Data Product Owner at Sonar. Familiarize yourself with concepts like Data Mesh, data modeling, and the tools mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience in data management, SQL, and product ownership. Emphasize any experience you have with visualization tools like Tableau or AWS Quicksight, as well as your familiarity with agile methodologies.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data and your alignment with Sonar's mission. Mention specific projects or experiences that demonstrate your ability to deliver data products and improve processes.
Showcase Your Team Spirit: In your application, convey your enthusiasm for collaboration and knowledge sharing. Highlight instances where you've worked effectively in teams and contributed to a positive work culture, as this aligns with Sonar's values.
Wie du dich auf ein Vorstellungsgespräch bei Sonar vorbereitest
✨Show Your Data Passion
Make sure to express your enthusiasm for data and how it drives decision-making. Share examples of how you've used data to solve problems or improve processes in previous roles.
✨Demonstrate Technical Skills
Be prepared to discuss your experience with SQL, data modeling, and visualization tools like Tableau or AWS Quicksight. Highlight any hands-on experience with dbt and how you've applied it in your projects.
✨Emphasize Collaboration
Since the role involves working closely with development teams and other Data Product Owners, share examples of successful collaborations. Discuss how you’ve contributed to team effectiveness and shared best practices.
✨Align with Company Culture
Familiarize yourself with Sonar's values around respect, kindness, and a growth mindset. Be ready to discuss how you embody these values and how you can contribute to maintaining a positive work environment.