Nexer Insight

Data Engineer

Job description

Data Engineer


Do you want to build the next datamodels för AI, ML and datawarehouse empowered solutions?


Nexer Insight, a Microsoft partner, invites you to embark on a journey as a Data Engineer where you'll be part of an extraordinary team, engage in exciting activities, work with fascinating clients, tackle varied and challenging tasks, and enjoy exceptional benefits. We are committed to leveraging cutting-edge technologies such as Databricks to drive innovation and excellence in everything we do.


Do you want to be our next ”Data Ninja”?

Joining Nexer Insight means becoming a vital part of a company that embodies entrepreneurship and innovation. Here, you'll have the chance to engage with cutting-edge technology from Microsoft, Databricks, and DBT Labs, as we proudly partner with them. We're committed to investing in our employees, empowering them to excel in their fields through professional growth and development opportunities. Collaboration is at the heart of our approach, as we value teamwork and foster a vibrant community spirit. Enjoy the flexibility of a dynamic work environment, including the option for part-time remote work. Dive into the exciting intersection of data engineering and data science, where you'll have the chance to make a meaningful impact.


Key Responsibilities:

  • Develop and operate scalable and robust analytical models.
  • Set up data platforms and build data models and pipelines.
  • Innovate and collaborate with customers to learn and find new business opportunities.
  • Become a champion in best practices regarding architecture, data quality, reliability, and performance.
  • Be at the forefront of the latest data engineering technology.
  • Leveraging Microsoft Azure services for data processing, transformation, and storage.
  • You propel progress and ensure delivery by constructing top-tier cloud solutions, empowering our customers to adopt a data-driven approach.


Based on our criteria för the role, we expect you to have:

  • Hands-on project experience of working with cloud solutions (Azure, AWS or GCP)
  • Experience working with ETL tools such as Azure Data Factory, Databricks, DBT, Snowflake
  • Experience with Data Lakes or Lakehouse Architecture
  • In-depth knowledge of SQL syntax
  • Experience in information and dimensional modelling
  • Good knowledge of DevOps processes with git version control and CI/CD methodology
  • Speaks English and Swedish fluently


Have you previously worked on-premises? No problem, with us you get the opportunity to take courses and get certified in Azure.


Meritorious experience:

  • Platform modernisation
  • Tabular cubes and DAX
  • Data Vault modelling
  • Experience in setting up Azure, AWS or GCP Infrastructure

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