Data Engineer

Assignment description Insight and Lead engine is a small corporate unit that works with commercial data and analysis to support sales and management About the assignment (mission description): The person at this position designs, builds, and maintains the infrastructure and data pipelines that generate commercial business insights within all of Customer. He/She will also work with data analysis, data collection and cleaning, Reporting and visualisation, data modelling, data governance and problem solving Role and responsibilities: This position requires a professional who prepares and manages big data that is then analyzed by you or data analysts and scientists. Job duties: You are responsible for designing, building, integrating, and maintaining data from several sources. The responsibilities include designing and maintaining commercial data architecture, building data pipelines, optimizing data workflows and ensuring data consistency, accuracy and availability for analysis. You work closely with other technical team members and business stakeholders to ensure that data is accessible and usable. They collaborate with Data Scientists and Business Analysts to understand their data requirements and optimize data pipelines accordingly. You are also responsible for creating and maintaining the infrastructure that processes and analyzes data. They build and optimize data pipelines, create ETL processes, and implement database architecture. Requirements Must have: Relevant professional experience within data analytics Experience in Data bricks Deep knowledge in coding Experience with PowerBI, Tableau and/or Qlik Sense Excellent knowledge of spoken and written Swedish and English Nice to have: AI solutions Individual qualitites: Work in a team with common goals Is independent, proactive and flexible Wants to make a difference and contribute to clearly noticeable results Be able to clearly communicate complex data insights to non-technical stakeholder Ensure the highest levels of accuracy in data collection, analysis and reporting