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Dbt (data build tool) – the secret sauce for data transformation in SQL. No more spaghetti code and endless ETL nightmares. dbt allows data engineers to write modular SQL queries and transform raw data into analytics-ready datasets. Think of it as version control for your SQL workflows with built-in testing and documentation. What sets dbt apart? It leverages your existing data warehouse, eliminating the need for another layer of complexity. Integration with modern data stacks is seamless, and its open-source nature means a thriving community and constant innovation. No vendor lock-in, just pure, unadulterated data transformation power. If you’re tired of black-box solutions and crave transparency and control, dbt is your new best friend

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Jobs in using dbt (data build tool) for but please no

data engineer

Director, Principal Data Architect @ tiffany-and-co

FR | 2025-12-26
The role is an ambitious opportunity for a seasoned data engineer with deep expertise in GCP, but it lacks specificity in defining responsibilities and expectations. The candidate must lead a... read more »
Management, GCP, Analytics, Cloud Computing, Big Data, AI/ML, Data Streaming, Data Lake, DWH, Data Engineering, AWS, Azure, SaaS, Data Management, DevOps, CI/CD, Marketing, Agile/Scrum, BigQuery, Cloud Composer, Fivetran, Power BI, Dataiku, SQL, ETL/ELT, Jira, Azure DevOps, GitHub, Computer Science, Cyber Security, Data Quality, API, Parquet, Avro, XML, CSV, dbt, Python, Data Science
data engineer

DATA ENGINEER @ stellantis

FR | 2025-12-25
Stellantis seeks a data engineer to build and maintain scalable pipelines and a canonical data model that business users can trust. The role is end-to-end: collect from IT sources, clean and... read more »
CI/CD, DevOps, Data Science, Python, SQL, RDBMS, NoSQL, Big Data, Hadoop, Spark, ELK, ETL/ELT, dbt, Kafka, Snowflake, Databricks, Data Engineering, Docker, Kubernetes, Airflow, Management
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

FR | 2025-12-25
Catalina is seeking a Senior Data Engineer to enhance its Snowflake-based data warehouse, emphasizing real-time insights and scalable data pipelines. Their unique Medallion architecture sets them... read more »
Marketing, SAS, DWH, BI, Snowflake, Analytics, Data Science, dbt, Git, Kafka, SQL, Data Streaming, AI/ML, GitHub, LLM, Data Engineering, Cloud Computing, Data Vault, Management, Data Modelling, Data Quality, Computer Science
data engineer

Data Engineering & Business Intelligence Expert @ adisseo

FR | 2025-12-23
Adisseo seeks a Data Platform & BI Expert to drive a cloud-native, scalable data fabric from pipelines to dashboards. The mix of BI platforms (Power BI), data architecture, and cloud tools... read more »
Data Engineering, BI, Analytics, Dashboard, dimensional modeling, Power BI, Cloud Computing, Data Modelling, Azure, AWS, GCP, CI/CD, Git, DevOps, Data Governance, Computer Science, Databricks, dbt, Management, SAP
data engineer

Senior Data Engineer - H/F - CDI @ usecollective

FR | 2025-12-23 | € 54000 - 75000 / year
This Senior Data Engineer role focuses on designing scalable cloud architectures for retail data pipelines using Python, SQL, DBT, and GCP services like BigQuery and Airflow. A key differentiator... read more »
Cloud Computing, Python, dbt, SQL, GCP, BigQuery, Cloud Storage, Airflow, Data Science, Analytics, Data Engineering, ETL/ELT, Spark, Kafka
data engineer

Data Engineer – BigQuery / DBT (FR/EN/中文) - Freelance @ usecollective

FR | 2025-12-23
A freelance Data Engineer role focusing on BigQuery and DBT within an international setting involving France and China. Differentiator is the bi-cultural communication aspect; the risk lies in the... read more »
BigQuery, dbt, SQL, Data Analytics, GCP, Git, Cloud Storage