OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Join DataOps as a Data Engineer - transforming SVT to an experiment-driven organization through data solutions and services!
We try to be the most inclusive and fun places to work in the media tech world. We believe in autonomous teams and the freedom to choose how to work and which tools to use. Working in one of the newest teams, DataOps, is a unique opportunity to make an impact for millions of people!
The Opportunity
Together with your team you will drive data innovation by building secure, scalable data infrastructure and services that contribute to the journey and goal of making the whole SVT more data-driven! You will also have:
• A kind and open culture. We think diverse teams are the most creative, so we welcome all identities and backgrounds.
• An environment where we dare to innovate around new technology and new ways of working.
• Quality and long-term perspective in everything we do.
• Your individual development and being constantly challenged in a complex and exciting tech environment.
Your Challenge
As a Data Engineer within DataOps, you will have a broad role where you will work with multiple data-focused solutions built on Google Cloud with BigQuery. You will among other things:
• Develop and manage streaming/real-time processing data in Google Cloud / BigQuery.
• Work with programming languages such as Python, Go, SQL and Swift
• Further develop new modules and simple solutions to enable other teams to independently solve problems
• Build data models for SVT:s different services
• Work agile and data-driven in cross-functional team and coach other teams in data
Here you will have great opportunities to influence your work and constantly develop yourself with how the world around you changes with new technologies and tools. This means that you need to be open for change and have an experimental mindset and sometimes dare to try the untried way!
The Team and Workplace
You will be a part of our cross-organizational DataOps-team and work in close collaboration with developers, analysts, and other Data Engineers. SVTi is the organisation delivering SVT:s online services and the DataOps-team sits in between fourteen teams at SVT Play, SVT News and SVT Barn. We have a hybrid work model , and try to meet at the office twice or so a week. We are located at SVT Gärdet, Stockholm.
About You
We believe you have worked some years in a similar position and just like us, have a big interest in data! You are comfortable using both Python and SQL and it is positive if you have been working with BigQuery in Google Cloud or any other Cloud services. If you find it exciting to experiment with other technologies like Kubernetes, Airflow or DBT, you will like it here!
As a person, we are happy to see that you are curious and eager to test new technologies and new ways of developing our products, working methods and collaborations. You have no problem expressing yourself in English and it is an advantage if you also can speak Swedish.
Let´s Connect!
We have chosen to work with Ada Digital in this recruitment. Their recruitment process focuses on transparency, inclusion and a fast moving candidate experience. And now we want to know more about you – on your own terms! To apply, please fill out the short form, briefly motivate why you are interested in the position, and attach your CV or LinkedIn-profile. No additional documentation is needed. You can then, in real-time, follow your application online as our recruiters are working with it. We work with a continues selection process which means we might hire a candidate before the final apply date, so apply already today! Interested and want to know more? Please contact our recruiter today. We are looking forward to connecting soon!
Kontaktpersoner på detta företaget
Sara Scheef
08-410 690 50
Sinisa Strbac
Jonas Olsson
08-410 639 22
Jennie Mannesten
08-21 92 05
Dana Jennerström
08-410 639 23
Dana Jennerström
Marcus Eriksson
Maria Tedsjö
0709-76 48 95
Malin Löwdahl
08-410 639 29
Pär Johansson
070-350 03 07