Business Intelligence Engineer

7 days ago

Copenhagen, Copenhagen, Denmark SOUNDBOKS Full time

About SOUNDBOKS

SOUNDBOKS is an innovative audio tech company and aspiring lifestyle brand. We create the loudest, most durable, and arguably coolest Bluetooth speakers on the market.

Growth is not something we offer, it's who we are. Learning is at the centre of everything, people will teach you what they know and the involvement is yours to take. We're talking a real-time & on-the-job learning, and it's our ultimate goal that you leave the office everyday having learned something new.

With 90 team members in Denmark and the United States, SOUNDBOKS is equal parts seasoned professionals and passionate unconventionals. We've got an amazing thing going, and it's only getting better

Data Analytics Engineer Role Summary

The Data, Infrastructure, and Optimization Team is responsible for building and maintaining data products and enabling new insights for better decision-making, objective setting, and monitoring within SOUNDBOKS. The team is also in charge of analyzing and automating processes that are key to increasing the company's efficiency.

Daily Responsibilities

  • You'll drive impactful data solutions by scoping, clarifying, and implementing solutions for the data and reporting needs that will have a real impact on business operations and productivity.
  • You'll gain an understanding of stakeholders' processes to capture and clarify data requirements in collaboration with department specialists.
  • You'll create new reports and data solutions in Power BI and make them available for relevant stakeholders to access and make use of.

Main Tasks

  • You'll integrate new data sources and automations.
  • You'll continuously create and improve data models in Databricks using PySpark.
  • You'll co-own and maintain the code, data models, pipelines, and the release process.
  • You'll hold ownership to maintain and manage the Power BI platform.
  • You'll carry out measures that improve data quality and governance.

Required Skills and Qualifications

  • You have 3 or more years of experience in working with Data Engineering or a related role.
  • You're skilled in SQL, Python (PySpark to be exact) and a data warehousing (preferably via Databricks).
  • You carry solid knowledge in AWS (Amazon Web Services), Google Cloud, or another cloud service provider.
  • You've definitely worked with a visualization tool before - ideally PowerBI, but it might have also been Tableau, Looker or other.
  • You know how to work with Git for version control and GitHub for collaboration.
  • You're skilled in getting insights from stakeholders on how particular dashboards are used, which then allows you to structure them in a user-friendly way.
  • Ideally, you've worked with a business whose data functions cover areas such as e-commerce, marketing, supply chain, finance, or a combination of them.
  • You've got the know-how to move a project from start to finish, making sure everything's in place for success.
  • With your open and proactive communication, you're good at building trust and rapport with the people you work with.

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