We are seeking a Senior Data Engineering and Analytics Consultant. 
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.

Quotation and contact

All questions should be directed to mikaela.rizzo@levigo.se

For quotation and contact click “visa offertformulär” or follow the link: https://request.levigo.se/Z4tgl3xo/senior-data-engineer