Technical Business Intelligence
Celsus Engineering AB
📍 Sverige
⏰ Heltid
📋 Vanlig anställning
🗓 Ansök senast 10 augusti 2026
✦ Få fler intervjuer
Generera ett personligt brev anpassat för just den här rollen — på under en minut.
Skapa ansökan – från 49 kr Gratis att söka · Ingen registrering · Premium 49 kr/månOm jobbet
Key Responsibilities
1. Technical Leadership
Lead the design and development of BI architecture, data models, and data pipelines.
Define best practices for data warehousing, ETL/ELT processes, and reporting.
Review code and ensure high-quality, maintainable BI solutions.
Select appropriate BI tools and technologies.
2. BI Solution Development
Design and develop dashboards, reports, and analytics solutions.
Optimize data models for performance and scalability.
Implement data transformations, aggregation, and business logic.
Common tools include:
Microsoft Power BI
Tableau
Qlik Sense
3. Data Engineering & Architecture
Design data warehouse or lakehouse architecture.
Develop ETL pipelines using tools like:
Azure Data Factory
Apache Airflow
Informatica
Work with databases such as:
Snowflake
Amazon Redshift
Google BigQuery
4. Team Leadership
Lead and mentor BI developers and data engineers.
Conduct design reviews and technical guidance.
Ensure agile development practices.
5. Stakeholder Collaboration
Work with business teams, product owners, and analysts.
Translate business requirements into technical BI solutions.
Deliver insights to support strategic decision-making.
6. Data Governance & Quality
Ensure data consistency, security, and governance.
Define data standards, naming conventions, and validation rules.
Implement monitoring and data quality checks.
Required Skills
Technical Skills
Strong SQL and database design
Data modeling (Star Schema, Snowflake Schema)
ETL/ELT pipeline design
BI tools (Power BI / Tableau / Qlik)
Cloud platforms:
Amazon Web Services
Microsoft Azure
Google Cloud
1. Technical Leadership
Lead the design and development of BI architecture, data models, and data pipelines.
Define best practices for data warehousing, ETL/ELT processes, and reporting.
Review code and ensure high-quality, maintainable BI solutions.
Select appropriate BI tools and technologies.
2. BI Solution Development
Design and develop dashboards, reports, and analytics solutions.
Optimize data models for performance and scalability.
Implement data transformations, aggregation, and business logic.
Common tools include:
Microsoft Power BI
Tableau
Qlik Sense
3. Data Engineering & Architecture
Design data warehouse or lakehouse architecture.
Develop ETL pipelines using tools like:
Azure Data Factory
Apache Airflow
Informatica
Work with databases such as:
Snowflake
Amazon Redshift
Google BigQuery
4. Team Leadership
Lead and mentor BI developers and data engineers.
Conduct design reviews and technical guidance.
Ensure agile development practices.
5. Stakeholder Collaboration
Work with business teams, product owners, and analysts.
Translate business requirements into technical BI solutions.
Deliver insights to support strategic decision-making.
6. Data Governance & Quality
Ensure data consistency, security, and governance.
Define data standards, naming conventions, and validation rules.
Implement monitoring and data quality checks.
Required Skills
Technical Skills
Strong SQL and database design
Data modeling (Star Schema, Snowflake Schema)
ETL/ELT pipeline design
BI tools (Power BI / Tableau / Qlik)
Cloud platforms:
Amazon Web Services
Microsoft Azure
Google Cloud