OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Axis is a fast growing and highly innovative company that offers intelligent security solutions. We are market leaders in network and surveillance cameras and are using this as the core around our solutions to create a safer and smarter world. Our success is largely due to our highly skilled staff and our strong culture of daring to succeed and allowing ourselves to constantly break new ground. The people here at Axis are innovative, dedicated and energetic and for us it is not just about creating products - we form and shape industry leading solutions giving highest values to our customers
You have the possibility to work as a Data Engineer at the Diagnostic and Data Management team with competent and collaborative colleagues.
How is your future team?
The Diagnostic and Data Management team consists of experienced SW Engineers, Data Engineers, and Data Scientists and the area is of strategic importance for Axis with great development potential moving forward. You will be a part of an inclusive and supportive team with the responsibility of collecting, processing, and storing anonymized data from IoT devices, in the cloud and on-prem. The team provides solutions to access and visualize the data as well as analysis of the data. Together the team strives to provide data solutions that enable data-driven decisions within Axis.
We are convinced that self-managed teams where all members are listened to are the foundation of innovative work culture. Decisions should be close to those that are affected, and bureaucratic processes should be limited. Trust in each other is incredibly important. That is the only way to keep our innovation speed and stay ahead of our competitors.
What you will do as a Data Engineer
As a Data Engineer, you will work across different code bases and at different levels of the software stack. You will mainly develop in Python on Linux machines and have the code under version control with Git in a team collaboration tool called Gerrit. We believe that code-review is important to share knowledge and improve code quality, and we try our best to follow best practices with automatic linters, tests, and other checks. The team has full autonomy to deploy changes, on both staging and production infrastructure. We share the responsibility for the underlying infrastructure, data pipeline, databases, and visualization tools and we are expected to have a high level of understanding of the entire data platform.
This is an important role within Diagnostic and Data Management, usage of data has increased, and the expectations of data solutions and pipelines have grown from nice to have into an essential part of Axis product & solution development. Future use of data will require higher reliability and larger data volumes within our data platform.
You will, together with the team, put in place and maintain solutions, ensuring up-time and ease of use of our data platform. This work will contain both cloud and on-prem solutions. Parts of the work are done in collaboration with our IT department where communication of our use cases and requirements is of key importance. The team aspires to handle data volumes in the range of petabytes. You will be a central part of driving the collection of anonymous data from multiple sources to improve our products & solutions.
Who are we looking for?
We are looking for a committed engineer with a supportive mindset. Suitable education could be Computer, Electrical, Physics science/engineering or similar and with some experience from working in the field of data engineering. Python programming and Linux are common knowledge for you and Git is a natural way of working.
You are a self-going person that likes to take responsibility for your tasks, and you are good at seeing the big picture. You are curious and want to learn new things and share your knowledge with others. Furthermore, you have an interest in k8s and/or cloud as well as relational, document, search, or other databases (ClickHouse, PostgreSQL, Elasticsearch, MySQL, MongoDB, etc.). You recognize the importance of networking with others, inside as well as outside the team.
Other skills that are seen as merit:
* Enjoy sharing knowledge with others and working transparently.
* Active in open source.
* Broad knowledge of new and emerging tools for extracting, ingesting, and processing large datasets.
* Interested in enhancement and maintenance of data platforms and pipelines.
* Experience in working closely with Data Scientists/Analysts.
* Experience in visualization/BI-tool (ex. Apache Superset or other)
* Experiences working with databases, for example ClickHouse, PostgreSQL, Elasticsearch, MySQL, MongoDB, etc.
* Structured and skilled in writing and especially documentation of requirements.
* Good presentation and communication skills in English.
As teamwork is crucial for Axis as a whole, we believe it is important that you can contribute to a good team spirit promoting a creative and stimulating work environment.
What Axis can do for you?
Axis is a young, exciting company, already the world leader in our field - network video. As an engineer at Axis, you have the opportunity to steer your competence development and grow in the fields that you find interesting. Axis values creativity and promotes personal growth. Here you will have the opportunity to work with colleagues from all parts of the organization, making it possible to connect and exchange knowledge and experience.
We welcome your application and look forward to the possibility of you joining us!
Ready to act?
Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. Would you like to grow with us?
Find out more from the recruiting manager, Tory Li, by phone at +46 46 272 1800 or by mail at
We review applications continuously!
Kontaktpersoner på detta företaget
Anders Görtz
+46 46 272 1800
Pontus Bergendahl
+46 46 272 1800
Fredrik Hertzberg
+46 46 272 1800
Kerstin Nirvald
+46 46 272 1800
Karin Bovin
+46 46 272 1800
Mats Thulin
+46 46 272 1800
Stefan Carlsson
+46 46 272 1800
Anna Jeppsson
+46 46 272 1800
Danilo Chinchilla Sosa
+46 46 272 1800
Stefan Nilsson
+46 46 272 1800