Data Engineer

It’s an exciting time to work at Hive Streaming! We have grown significantly over the last few years and now rank among the top SaaS companies in the Nordics. In 2021, Microsoft selected Hive to become the recipient of its prestigious ISV of the Year award.

In these turbulent times, excellent employee video communication is crucial for enterprise companies to create engagement and alignment to survive and succeed. At Hive Streaming we are proud to offer an industry-leading solution to this demand. We help multiple Fortune 500 customers analyze, secure, and optimize their video experience on a daily basis.

Hive and Sustainable Growth

We have been a hypergrowth company for a long time, doubling our revenue yearly. For the next phase of our journey, we want to continue that growth by financing it ourselves. By the end of 2022, we will be able to drive additional growth without the need for external capital. This is an exciting thing!

We want to grow sustainably when it comes to revenue, when it comes to our people and our customers; they are what truly makes us succeed.

To help our customers to grow sustainably, we will help them by creating alignment and engagement of their employees. We will help them to reduce their carbon footprint through less travel and by increasing the lifespan of their existing infrastructure. All this is at the core of our product, the Hive Video Experience Platform.



Want to join our journey?

We are now looking for our new Data Engineer to our Stockholm office. You will be part of our hybrid workplace, which means you will be working partly remotely and at the office.

What is Hive Video Analytics Team?  

The Video Analytics team is a part of Hive Streaming's Product Office and works from Hive’s office in Stockholm. The team is responsible for Hive’s industry leading video analytics products. We offer actionable and personalized insights on our customers' video communications based on unique data on employee engagement, network performance, video quality and reach.

Our wide skill set allows us to independently handle product and feature requests from design to release. From the ingestion of data and live or “on-time” data processing, to presenting the valuable insights through powerful, user-centric data visualizations. In our team we share the responsibility for our work and strive for empowerment and innovation.

The Perks of Working at Hive

🏼 Have it your way! At the office, at home or on the ski slope (did I go too far?) - your way is the best way but flexibility is everyone's way at Hive! We use Microsoft Teams to collaborate, we have digital kick-off's and provide you opportunities to work either remotely or in a hybrid setting.

Without you = no Hive? We are a fast-paced, global (over 35 nationalities among our 100 co-workers around the globe) scale-up company that empowers every single coworker. Everyone is unique and important for our growth. You will play an important role in the company’s future success.

🏽‍♀️ Flexibility (cannot say it enough)... we have flexible working hours to encourage work-life balance.

Contribution to innovation and a better world! Hive helps enterprises to communicate through video instead of flying people in from across the globe, which means Hive employees directly contribute to a greener world!

The boring but most important... salaries are good, insurances are good, awesome health benefits (did someone say free massage at the office?) and hopefully you stay good (& healthy)!

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 analytical applications.
- Contribute in shaping our product by bringing insights and innovative ideas to discussions.
- Collaborate with the team to engineer high quality and reliable solutions.


Previous Experience

- 2+ years of experience working as a Data Engineer
- Great communication skills in English, both verbal and written.
- Designing, implementing and troubleshooting data pipelines.
- Apache Spark and/or other distributed data processing frameworks.
- Delivering tested and maintainable code in projects with multiple contributors.
- Cloud environments and familiar with common cloud-native data storages.


The perfect match will be…

- An effective communicator, seeking first to understand and then to be understood
- Enjoy collaborative problem solving in an Agile environment


You are aligned and want to live by our Core Values; customer-centricity, innovation, empowerment.



We hope you are excited about this opportunity and look forward to your application!





LI-SA