Autostore is a leading software and robotics company that offers automation technology to warehouses around the world. Our innovative storage solutions have led to great success and growth. As a result, we have grown from 150 to 500 employees, and we have installations in 32 countries around the world. And with success comes complexity.
Autostore has established a new Data Science team, to identify, categorize, analyze and use important data in the company. We are looking for a candidate motivated by being part of a journey and wanting to help build a new area in the company. We are looking for a candidate with analytical qualities and with great technical interest.
About the job
Your main responsibility will be to optimize our dataflows; from acquisition, processing, and governance to mapping and presenting high-quality data to our analytics team and other business stakeholders in a user-friendly and secure matter. You will work with sustaining and improving our data platform. The goal is to make data accessible and dependable within the organization, and you will explore and implement ways to enhance data quality and reliability, working with data modelling and data management
The following tasks are examples of relevant tasks you will focus on:
To better inform you about the position, we have recorded a podcast, in which we interview Sivaharan Rajkumar, Lead Data Engineer at Autostore, about the company, expectations for the role and what you can expect in this position: Podcast: Autostore Data Analyst & Data Engineer
Who are we looking for?
Our company culture is important to us, and it is important that you do match with our values:
To succeed in a role like this, you need to have experience from cloud based architecture in Azure, and preferably experience with Terraform. You have deep practical hands-on experience with Azure Synapse / DataBricks and/or Azure Data Lake. You have experience with maintaining data processing pipelines or data models. You must have good communication skills, and be able to communicating data issues to various stakeholders. Proficient language skills in English, oral and written, is a prerequisite. English is the working language at AutoStore.
Experience from the following will be appreciated when we evaluate candidates:
Are you curious to know more?
Do not hesitate to contact our recruitment partner MeyerHaugen AS for an informal chat about the role, Øystein Gjuvsland, Manager, by email firstname.lastname@example.org or phone + 47 991 10 955.