At Hive Streaming, we enable the world’s largest enterprises to use live video as a strategic tool for communication, alignment, and impact. Trusted by more than 130 global customers, Hive combines market-leading video distribution technology with unique communication analytics, helping organizations ensure flawless video experiences and measure how effectively messages reach, engage, and align employees.

Our users are IT and Network professionals who rely on Hive every day to ensure flawless video delivery, Event Producers who ensure optimal video experience during internal company events, Leaders and Communications professionals who plan and execute powerful video-enabled strategies to deliver measurable impact.

What do we do - really? No better way to explain what Hive actually does than with a video 🎥 Watch the video below to find out more 👇🏼

About the role

We are looking for a versatile data engineer with strong software engineering skills to join our Partner Ecosystem team. In this role, you will be a major contributor in designing and implementing the big data pipelines—real-time and batch-powering our products. Moreover, you will contribute in enabling Hive Products by working closely with our partner video platforms, such as Microsoft Teams Town Hall and Vimeo!

Working as a Data Engineer, you will:

• Design and implement big data pipelines on top of our data platform.
• Develop solutions leveraging our tech stack: Spark/Scala, Databricks and Delta lake.
• Work on end-to-end delivery of data to our applications.
• Contribute to shaping our product by bringing insights and innovative ideas to discussions.
• Collaborate with the team to engineer high-quality and reliable solutions.
• Help analyze our data to improve our products

Working in Partner Eco, you will:

• Design and implement our clients for the collection of data
• Work closely with our partner developers to enable Hive with high quality
• Own the data from the collection to its manipulation
• Align and want to live by our core values: customer-centricity, innovation, and empowerment.

More details:

Role type: Full-timewith a standard probation period

Start date: Jan/Feb 2026 (flexible)

Working hours: Align with CET (Central European Time)

Location: Stockholm, Sweden (Hybrid: ±2 days/week in the office), can consider Berlin, Germany

🐶Just a heads up, we're a dog-friendly office!

Who we are looking for

 We're looking for someone with a strong technical foundation — but just as importantly, the right attitude. At Hive, how you work is just as valuable as what you know. We also don’t expect you to tick every box. If you’re excited about this role and ready to learn, we’d love to hear from you!

We are looking for someone with:

• Bachelors within Computer Science or a similar field, or equivalent experience
• Expert in Apache Spark and/or other distributed data processing frameworks
• Experience in delivering tested and maintainable code in projects with multiple contributors
• Knowledgeable in cloud environments and familiar with common cloud-native data storages

We see it as a bonus if you have:

• Experience in TypeScript or JavaScript
• Prior experience working with video streaming solutions, networking, and/or peer-to-peer
• Experience with mentorship or informal leadership

And just as importantly, we believe you are:

• A team player, who shares information and expertise, promotes team effectiveness by facilitating and building on the ideas of others
• Resourceful, who are quick to change behavior to adapt to changing circumstances
• A problem solver, who loves challenges and finding creative, practical solutions
• A good communicator, seeking first to understand and then to be understood
• Service-minded, who has a visible approach and shows sincere interest in customers and their concerns

Why join Hive?

• Global Impact: Partner with 150 of the world’s largest enterprises, helping them achieve alignment and measurable success through live video.
• Dynamic Culture: Join a collaborative, inclusive, and diverse environment that values curiosity, rapid learning, and new perspectives.
• Empowered Leadership: Play a pivotal role in shaping Hive’s future while connecting directly with the customers who rely on our solutions.
• Pioneering Innovation: Be at the forefront of building strategic communication tools that empower enterprises to thrive amidst massive change.
• Great Benefits: Wellness stipend, pension, health insurance, extra vacation days, benefit bikes, and more!
• Flexibility: We value flexibility and trust. Whether you’re balancing personal commitments or exploring new ideas, you’ll find support and autonomy here with flexible working hours and a hybrid work model.

Recruitment process: what to expect

To apply, please submit your CV and answer a few short questions in lieu of a cover letter directly in the application form. Please submit all documents in English. Please submit applications by November 21st.

Our hiring process is designed to be transparent and collaborative:

1. Intro call: Meet our People & Talent Partner for a chat about your background, motivation, and what excites you about Hive. You’ll also learn more about our culture and how we work.
2. Hiring manager interview: Meet Claudio, one of our Engineering Managers and your potential future manager. This conversation focuses on your experience, career goals, and how you could contribute to the team.
3. Technical interview: Complete an at-home assessment, which will form the basis of a technical discussion with members of the Partner Ecosystem team. Together, you’ll explore your approach to problem-solving and technical design.
4. Data engineering interview: Meet a member of our Data Guild for a final conversation focused on team fit, ways of working, and your approach to data engineering. This is also your chance to ask questions and get a deeper sense of our data culture at Hive.
5. Reference checks: We take security seriously and conduct two reference checks as part of our compliance with internal and regulatory requirements.
6. Decision: Timely feedback and next steps - our goal is to complete the process within around 4 weeks, depending on your availability.

#LI-Hybrid