Senior data engineer / Analytics consultant
⚲ Stockholm Metropolitan Area
Do uzgodnienia
Wymagania
- Microsoft Power BI
- Data Management
- Amazon Web Services (AWS)
- Business Intelligence (BI)
- Data Warehouse (DW)
- business architecture
- Data modeling
- Microservices
- Snowflake
- Backend
Opis stanowiska
Start: 2026-08-25End: 2027-03-25
Workload: 100%
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.
Examples of Activities
• 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.
•
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.
Role
• 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. Experience with some backend is a plus.
• 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.
Workload: 100%
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.
Examples of Activities
• 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.
•
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.
Role
• 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. Experience with some backend is a plus.
• 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.
🔍 Dekoder Ogłoszenia
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Take over and manage ongoing data engineering and analysis projects.
Prawdopodobnie będziesz musiał naprawić istniejące problemy i dokończyć projekty, które nie zostały jeszcze ukończone.
🔴
working closely with business stakeholders, building relationships and trust.
Może to oznaczać, że będziesz musiał poświęcić dużo czasu na komunikację i negocjacje z osobami nietechnicznymi, które mogą mieć niejasne wymagania.
🔴
Create and manage applications for manual data management in Airtable.
Oprócz typowych zadań inżyniera danych, będziesz musiał również zajmować się prostymi narzędziami do zarządzania danymi, co może być czasochłonne.
🔴
Collaborate with business architecture is crucial to align data models with business processes.
Będziesz musiał poświęcić znaczną część czasu na zrozumienie i dopasowanie się do istniejących procesów biznesowych, które mogą być skomplikowane lub słabo udokumentowane.
🟡
Data mesh is a plus
Chociaż nie jest to wymagane, znajomość data mesh może być wykorzystana do usprawiedliwienia pewnych decyzji architektonicznych lub oczekiwań wobec Ciebie.