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Senior Data Engineer

Posted 4 weeks ago by Daniel Fransson
Stockholm
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Job Description

The role focuses on understanding stakeholder requirements and delivering BI reports and analytical solutions using our data stack consisting of a data lake (AWS S3), data warehouse (Snowflake + DBT) and visualization layer (Power BI). 
Collaboration with business architecture is crucial to align data models with business processes.

Responsibilities

  • Develop and maintain Power BI dashboards and reports.
  • Set up and manage data pipelines using ingestor microservices and AWS S3.
  • Build data products in Snowflake with DBT.
  • Collaborate with business architects to ensure data models reflect business needs.
  • Create and manage applications for manual data management in Airtable.
  • Support backend-related work, including code reviews and, when needed, backend development. 
  • Take on additional responsibility and provide continuity when other team members are unavailable.

As a Data Engineering and Analytics Consultant, you will:

  • Take over and manage ongoing data engineering and analysis projects.
  • Working closely with business stakeholders, building relationships and trust.
  • Collect data from multiple sources, package them into data products and create BI reports to provide business insights.
  • Ensure data models and reports accurately represent business processes.
  • Collaborate with the team to improve and maintain the analytical data stack.

Qualifications

  • Data Expertise: Proven experience in data engineering and analytics, specializing in BI reporting. Experience with data mesh is a plus.
  • Technical Skills: AWS S3, Snowflake, DBT and Power BI – or similar tools. 
  • Stakeholder Engagement: Ability to gather and translate business requirements into data solutions.
  • Data Modeling: Skilled in mapping business processes and terminology into data models.
  • Communication: Excellent verbal and written skills for effective collaboration.

    The ideal candidate is pragmatic, communicative and has a solid working knowledge of backend development, SQL and Power BI, with the ability to work independently and communicate clearly with stakeholders.