Menu
Navigatie
Home
Daily Briefing
Zoeken
Archief
Evenementen
Vacatures
Freelance
Kennisbank
Blog
Podcasts
Video's
Nieuwsbrief
Feeds & API
Categorieën
Power BI
Data Strategie
Visualisatie
AI & Analytics
Markt & Trends
Een project van Peter Heijnen —
BPA
Business Intelligence Info
← Vacatures
ETL / Data Pipelines
Technieken
5
vacatures
12
artikelen
3
bedrijven
2
Tableau
2
Power BI
1
Data Engineer
Vaak gecombineerd met:
Python
5
SQL
5
Tableau
4
Spark
3
Looker
2
Airflow
2
dbt
2
Power BI
2
Adyen
2
JetBrains
2
NXP
1
Vacatures
5
Senior Data Engineer
NXP
India (home based)
Data Engineer
SQL
Python
Databricks
Spark
ETL
CI/CD
Optimization Data Analyst
Adyen
São Paulo
Tableau
SQL
Python
Spark
Tableau
Looker
Airflow
Data Analyst
Adyen
São Paulo
Tableau
SQL
Python
Spark
Tableau
Looker
Airflow
Business Intelligence Analyst (m/w/d)
JetBrains
Berlin, Germany; Munich, Germany; Remote, Germany
Power BI
Power BI
SQL
Python
dbt
Tableau
Qlik
Business Intelligence Analyst
JetBrains
Amsterdam, Netherlands; Belgrade, Serbia; Limassol, Cyprus; Paphos, Cyprus; Prague, Czech Republic
Power BI
Power BI
SQL
Python
dbt
Tableau
Qlik
Artikelen
12
Stop calling yourself a "Data Engineer" — we are AI Collaboration Partners now!
Reddit r/dataengineering
Fivetran product updates | Blog | Fivetran
Fivetran Blog
Real-Time Fraud Detection: Kafka to ClickHouse with GlassFlow
Reddit r/BusinessIntelligence
AI vs. generative AI: Key differences and examples
Fivetran Blog
Announcing the latest innovations in Fabric Data Factory: Apache Airflow jobs and pipelines
Microsoft Fabric Blog
Dropped warehouse recovery in Microsoft Fabric (Preview)
Microsoft Fabric Blog
How Pleo achieved Customer 360 | Blog | Fivetran
Fivetran Blog
Modernize your ADF pipelines to unlock Fabric
Microsoft Fabric Blog
What do you think the next big shift in data engineering will be?
Reddit r/dataengineering
Business process automation for multi-channel reporting
Reddit r/BusinessIntelligence
I built an experimental orchestration language for reproducible data science called 'T'
Reddit r/datascience
we spend 80% of our time firefighting data issues instead of building, is a data observability platform the only fix?
Reddit r/BusinessIntelligence