dbt Senior Data Engineer | Asahi

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands. On behalf of our client Asahi Europe & International, GT is looking for the dbt Senior Data Engineer. Note: this is a full-time project-based role planned until the end of 2026, with a possible extension. Occasional business trips may be required (up to once per month maximum). About the Client: Imagine working with some of the most iconic brands in the world – including Grolsch and Peroni Nastro Azzurro. At Asahi Europe & International, you’ll join a global leader in the beer and beverage industry, with a rich portfolio that spans from premium beers to innovative beverages. Asahi Europe & International is part of Asahi Group Holdings, a global beer, spirits, soft drinks and food group with leading positions in European and Asia-Pacific markets, listed on the Tokyo Stock Exchange, Japan. As of November 2020, Asahi Europe & International Group runs 19 production facilities in 8 countries across Europe, and is the custodian of some of the best beer brands in the world, including Asahi Super Dry, Pilsner Urquell, Peroni Nastro Azzurro, Grolsch and Kozel. Within the Asahi Group, the remit of Asahi Europe and International is also to develop and manage all export markets globally, outside of Japan and Oceania. Covering 90 markets and with over 10,000 passionate colleagues on board, the business is well positioned to inspire people around the world to drink better. About the Role: We are looking for a data professional to contribute to project development by supporting and overseeing the building and testing of robust, scalable, and high-quality data pipelines. You will be responsible for transforming raw data into actionable insights while ensuring high standards of data integrity and reliability. Responsibilities: Design and maintain end-to-end data orchestration using Azure Data Factory (ADF) and Databricks Workflows Build and optimize modular transformation layers using dbt (data build tool) Ensure documentation is accurate and complete Implement and manage Data Quality (DQ) processes within dbt to ensure reliable and trusted data Troubleshoot complex data issues and performance bottlenecks Work closely with stakeholders to translate business requirements into technical data models Essential knowledge, skills & experience: Proven experience with dbt Core, including writing macros, snapshots, and documentation Strong hands-on experience with Azure Data Factory (pipelines, linked services, integration runtimes) Experience implementing automated testing and Data Quality frameworks (e.g. dbt-tests, Great Expectations, or custom DQ gates) Strong SQL skills with the ability to write complex and performant queries Strong analytical and problem-solving skills Knowledge of CI/CD practices for data workflows within Azure DevOps Nice-to-have: Python scripting for custom data tasks Interview Steps: GT interview with Recruiter Technical interview Final interview