Senior Analytics Engineer

Summary

Join our team as a Data Engineer and play a key role in designing, building, and maintaining our data infrastructure within Google Cloud. You will manage and optimize data models, develop efficient ELT processes using tools like DBT and Fivetran, and collaborate with data scientists and analysts. Your responsibilities include ensuring data integrity, troubleshooting technical issues, and staying current with Google Cloud innovations. This role requires at least 3 years of relevant experience, expertise in data warehousing and ETL processes, and strong problem-solving skills. A Google Cloud Professional Data Engineer certificate is a plus but not required. The position requires fluency in English and the ability to work from the EU.

Requirements

• 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
• 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
• 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

Responsibilities

• 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

Preferred Qualifications

A Google Cloud Professional Data Engineer certificate or similar certification