Product Owner - GCP Cloud, Big Data / Data Factory (OSS)
Product Owner - GCP Cloud, Big Data / Data Factory (OSS)

Product Owner - GCP Cloud, Big Data / Data Factory (OSS)

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and delivery of cloud-native data platforms for telecom analytics.
  • Company: Dynamic telecom company focused on innovation and technology.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Why this job: Shape the future of telecom with cutting-edge GCP Cloud and Big Data technologies.
  • Qualifications: Expertise in GCP services and experience in building scalable data platforms.
  • Other info: Join a collaborative team and make a real impact in the telecom industry.

The predicted salary is between 48000 - 72000 £ per year.

Location: Reading, UK - 3 days onsite

Job Type: Fixed Term

Job Summary:

We are looking for a Telecom OSS Product Manager with strong expertise in GCP Cloud and Big Data/Data Factory ecosystems to lead the design and delivery of cloud-native data platforms that power large-scale telecom analytics, assurance, and automation use cases. The role involves defining the product vision, roadmap, and architecture for high volume data ingestion, transformation, governance, and real-time processing pipelines across OSS domains such as fault, performance, topology, and service assurance.

The ideal candidate has hands-on understanding of GCP services (BigQuery, Dataflow, Pub/Sub, Dataproc, Composer), Big Data frameworks, and telecom network data models, along with experience building scalable data platforms that support AI/ML, observability, and automation.

Strong skills in stakeholder alignment, API/data modeling, and driving end-to-end product execution are essential.

Product Owner - GCP Cloud, Big Data / Data Factory (OSS) employer: Stackstudio Digital Ltd.

Join a forward-thinking company in Reading, UK, where innovation meets collaboration. As a Product Owner in GCP Cloud and Big Data, you'll thrive in a dynamic work culture that prioritises employee growth and development, offering opportunities to lead cutting-edge projects in telecom analytics. With a commitment to work-life balance and a supportive environment, this role provides a unique chance to make a meaningful impact while advancing your career in a rapidly evolving industry.
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Contact Detail:

Stackstudio Digital Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Product Owner - GCP Cloud, Big Data / Data Factory (OSS)

✨Tip Number 1

Network like a pro! Reach out to folks in the telecom and cloud space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational chats. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your expertise in GCP Cloud and Big Data. This could be a mini data pipeline or a case study showcasing your understanding of telecom analytics. It’s a great way to stand out!

✨Tip Number 3

Prepare for interviews by brushing up on your knowledge of GCP services and telecom data models. Practice common product owner scenarios and be ready to discuss how you’d tackle real-world challenges in the OSS domain. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.

We think you need these skills to ace Product Owner - GCP Cloud, Big Data / Data Factory (OSS)

GCP Cloud
Big Data
Data Factory
Cloud-Native Data Platforms
High Volume Data Ingestion
Data Transformation
Data Governance
Real-Time Processing Pipelines
Telecom OSS
Fault Management
Performance Management
Topology Management
Service Assurance
API/Data Modeling
Stakeholder Alignment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Product Owner - GCP Cloud, Big Data/Data Factory. Highlight your experience with GCP services and any relevant projects that showcase your skills in building scalable data platforms.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led product vision and execution in the past, especially in telecom or cloud environments.

Showcase Your Technical Skills: Don’t shy away from detailing your hands-on experience with GCP services like BigQuery and Dataflow. We want to see how you’ve used these tools to solve real-world problems in your previous roles.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at Stackstudio Digital Ltd.

✨Know Your GCP Inside Out

Make sure you brush up on your knowledge of GCP services like BigQuery, Dataflow, and Pub/Sub. Be ready to discuss how you've used these tools in past projects, as well as their benefits in building scalable data platforms.

✨Showcase Your Telecom Expertise

Prepare to talk about your experience with telecom network data models and how they relate to OSS domains. Highlight specific examples where you've successfully implemented solutions that improved analytics or automation in a telecom environment.

✨Master the Product Vision

Be clear about your approach to defining product vision and roadmaps. Think of examples where you've led product design and delivery, and be ready to explain how you align stakeholders around a common goal.

✨Demonstrate Your Data Skills

Since this role involves high volume data ingestion and real-time processing, come prepared with examples of how you've tackled similar challenges. Discuss your experience with data transformation and governance, and how it supports AI/ML initiatives.

Product Owner - GCP Cloud, Big Data / Data Factory (OSS)
Stackstudio Digital Ltd.

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