Auf einen Blick
- Aufgaben: Lead a dynamic team to manage big data ingestion and processing across 20+ markets.
- Arbeitgeber: Join a diverse company with over 20 nationalities, focused on growth and innovation.
- Mitarbeitervorteile: Enjoy flexible work options, 30 vacation days, and a yearly education budget of €1,200.
- Warum dieser Job: Be part of a collaborative culture that values collective achievements and personal growth.
- GewĂĽnschte Qualifikationen: 3-5 years in Product or Data Management; experience in Adtech/Martech is a plus.
- Andere Informationen: Work remotely up to 3 months a year and access mental health support.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Intro
About the team
We are a highly motivated and skilled team, where everyone’s role has a real impact on the company’s growth. Success and fun are combined in a great company culture with people from all over the world, creating a melting pot of individuals with more than 20 different nationalities!
Your Mission
Ideally you are
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Highly passionate about data and its potential to drive business intelligence and innovation
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A curious and open-minded team player with 3-5 years of experience in Product Management or Data Management roles
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Profoundly knowledgeable about the Adtech/Martech industry or have experience with big data, data engineering, AWS cloud technologies
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Ready to jump on complex tasks and bring energy and optimism to the team to help deliver on an ambitious roadmap
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Experienced in discovering & validating data needs, understanding the competitive landscape & industry trends
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Experienced in leading data engineering projects, ensuring efficient data ingestion, processing, and storage
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Proficient in the use of data analytics tools and techniques to drive decision-making and measure success
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Comfortable working in a dynamic environment
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Based in Europe
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A person who cares about the notion of collective achievements. Winning is a together-thing (this is non-negotiable for this specific position)
Your Profile
What you will do
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Lead the Data-In Squad: lead a squad of data engineers focused on the efficient ingestion, processing, and storage of big data from various providers across 20+ markets
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Backlog Management: Maintain and prioritise the product backlog, ensuring it is aligned with the product roadmap and business goals. Ensure the team understands and delivers on the highest priority items
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Maximise Team Output: Drive and maximise the output of the data engineering team by ensuring clear requirements, removing obstacles, and facilitating efficient workflows
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Roadmap Development: Develop and maintain a product roadmap for data ingestion and processing, outlining key initiatives and timelines
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Cross-Functional Collaboration: Collaborate closely with data analytics engineering and data science teams to ensure the ingested data is accessible and can be leveraged to create valuable data products
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Stakeholder Management: Work with our Data Partnerships & Technical Account Management teams, as well as other Product Managers to gather requirements, provide updates, and ensure alignment on data strategy and priorities
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Technical Specifications: Create detailed data requirements, user stories, and technical specifications for data projects
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Quality Assurance: Conduct data quality testing to guarantee the reliability and accuracy of ingested data
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Monitoring and Improvement: Monitor and analyse the performance of data ingestion processes post-launch and gather feedback for continuous improvement
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Documentation and Training: Plan and execute the launch of new data ingestion processes, including developing documentation and training materials for internal teams
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Research and Analysis: Research and analyse data market trends, customer needs, and competitive products to inform data strategy
Desired Background
Our Software Stack
Your Opportunities
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Be part of an ambitious company whose drive is to take the advertising world into a new era
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Build digital products which aim at connecting both the digital and analog world for Advertisers
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Become part of an amazing team which is crazy enough to believe they can change how advertising is done
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Unfold your abilities and let your ideas become reality – Because every one of us has a say in what we do
Why us?
On top of a competitive package…
- We are open to flexible work models: we work on a hybrid mode and have the possibility to work remotely up to 3 months per year
- To encourage education and professional growth, we offer an individual yearly budget of 1,200€
- You are entitled to 30 vacation days per year
- We offer BVG company ticket, JobRad bike leasing, Urban Sports Club membership, company pension scheme
- We care about your mental health and provide you with coaching and counseling sessions through the collaboration with the FĂĽrstenberg Institut
- Regular team events and company events organised by our People team (Trust us, they know how to throw a party!)
- We equip you with the latest hardware and provide you with all the tools you need to thrive
Desired start date
#J-18808-Ljbffr
Data Product Owner - Data-In Squad (m/f/d) Arbeitgeber: Adsquare GmbH
Kontaktperson:
Adsquare GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Product Owner - Data-In Squad (m/f/d)
✨Tip Number 1
Familiarize yourself with the Adtech/Martech industry. Understanding the latest trends and technologies in this space will not only help you during interviews but also demonstrate your passion for data and its potential.
✨Tip Number 2
Showcase your experience in leading data engineering projects. Be prepared to discuss specific examples where you've successfully managed complex tasks and how you maximized team output.
✨Tip Number 3
Highlight your collaborative skills. Since this role requires cross-functional collaboration, think of instances where you've worked closely with data analytics or data science teams to achieve common goals.
✨Tip Number 4
Prepare to discuss your approach to backlog management and prioritization. Being able to articulate how you align product backlogs with business goals will set you apart as a strong candidate.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Product Owner - Data-In Squad (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Data Product Owner position. Tailor your application to highlight your relevant experience in product management and data management.
Showcase Your Experience: In your CV and cover letter, emphasize your 3-5 years of experience in Product Management or Data Management roles. Provide specific examples of projects where you led data engineering initiatives or collaborated with cross-functional teams.
Highlight Technical Skills: Mention your proficiency in data analytics tools, AWS cloud technologies, and any experience with big data. This will demonstrate your technical capabilities and understanding of the Adtech/Martech industry.
Express Team Spirit: Since the company values collective achievements, make sure to convey your ability to work as a team player. Share examples of how you've contributed to team success and fostered collaboration in previous roles.
Wie du dich auf ein Vorstellungsgespräch bei Adsquare GmbH vorbereitest
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and its potential to drive business intelligence. Share specific examples of how you've used data to influence decisions or innovate in previous roles.
✨Demonstrate Your Experience
Highlight your 3-5 years of experience in Product Management or Data Management. Be prepared to discuss your familiarity with the Adtech/Martech industry and any relevant projects you've led, especially those involving big data and AWS technologies.
✨Emphasize Team Collaboration
Since this role values collective achievements, share experiences where you successfully collaborated with cross-functional teams. Discuss how you’ve maximized team output and navigated challenges together.
✨Prepare for Technical Questions
Expect questions about data ingestion processes, quality assurance, and analytics tools. Brush up on your technical knowledge and be ready to explain how you would approach developing a product roadmap or managing a backlog.