Analytics Engineer with DBT and Data Vault

You will be: 

• designing, building, and maintaining scalable data pipelines and a state-of-the-art lakehouse within Google Cloud, 

• managing and optimizing robust data models, 

• developing efficient ELT processes with tools like DBT and Fivetran to collect, transform, and load data from various sources, 

• collaborating with data scientists and analysts to generate valuable, data-driven insights. 

• ensuring well-structured, accessible datasets that support the analytics team, 

• safeguarding data integrity by implementing solid validation processes, 

• troubleshooting and resolving complex technical issues related to data integration and processing, 

• staying up-to-date with the latest innovations in Google Cloud, data engineering, and analytics. 

Requirements

Your profile: 

• ready to start within 6 weeks, 

• at least 3 years of relevant work experience as an Analytics Engineer, Data Engineer, or a similar role, preferably in a Google Cloud environment (a Google Cloud Professional Data Engineer certificate or similar certification is a strong plus but not mandatory), 

• expertise in data warehouses, ETL processes, and tools such as BigQuery, Dataflow, Cloud Storage, DBT, SQL, and Python, 

• experience with data modeling, Data Vault, database design, and query optimization is a must, 

• strong problem-solving skills and can tackle complex technical challenges, 

• fluent in English, both spoken and written, 

• enjoy working in multidisciplinary teams and contribute to a positive work atmosphere, 

• understand customer needs and can translate them into valuable data solutions. 

Work from EU and a work permit to work from EU are required.