Data Engineer
2 meses atrás
ABOUT YONDERLAND We are convinced that outside is exciting, relaxing and inspiring. It's versatile, for some it is a place to relax, for others it is the ultimate challenge. A place to enjoy and where big and small moments come together. It's a place to be discovered or to be recognized. But the outdoors can also be treacherous and unpredictable. Weather and terrain can surprise you. Our mission is to enable all people to spend inspiring and epic moments outside.
Yonderland is a European group of premium brands and retail concepts focused on outdoor. Including A.S. Adventure, Juttu, Bever, Cotswold, Snow+Rock, Runnersneed and Ayacucho. Yonderland runs over 190 shops in Belgium, Luxembourg, France, Great-Britain and The Netherlands and resides in Belgium.
ABOUT THE JOB OPENING WE ARE LOOKING FOR A DATA ENGINEER TO JOIN OUR TEAM
This role is responsible for building and maintaining our cloud-based data processing systems, with a primary focus on data transformation using DBT (Data Build Tool). The ideal candidate will have experience in SQL or Python, as well as hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. This position will play a key role in transforming data workflows to enhance accessibility, scalability, and efficiency across the organization.
YOU WILL Design, implement, and optimize scalable data pipelines to support our analytics and data science needs. Leverage DBT as a coding framework to manage data transformations within the data warehouse. Write efficient SQL or Python code to transform and cleanse data in alignment with business requirements. Work closely with other data engineers to develop and maintain robust, reliable data solutions. Contribute to the design and architecture of data systems that ensure data integrity, scalability, and performance. Deploy and manage data infrastructure in cloud environments (AWS, Azure, or Google Cloud), utilizing cloud-native services and tools to streamline data workflows. Apply a solid understanding of ELT principles to build efficient, optimized data processing pipelines. Focus on transformation aspects, ensuring data is processed to meet end-user requirements. Monitor and optimize data processes to improve system performance and ensure high-quality data output. Troubleshoot and resolve data-related issues to maintain the reliability of data infrastructure. YOU HAVE At least 3 years of experience as a data engineer Experience in a data engineering role, with knowledge in a cloud-based data platform project involving Snowflake. Experience with DBT Framework: Proficient in using DBT for data transformation in cloud-based environments, with a strong understanding of DBT modeling, testing, and version control best practices. Advanced knowledge of SQL and experience in using Python for data manipulation and transformation. Hands-on experience with at least one major cloud platform (AWS, Azure, Google Cloud) and familiarity with relevant cloud services for data engineering (e.g., BigQuery, Redshift, Azure Synapse, etc.). Strong understanding of ELT principles and experience with transformation processes within a modern data stack. Demonstrated experience working in collaborative team environments, contributing to shared data engineering projects, and participating in code reviews and design discussions. WE HAVE An office in Porto downtown Full-time job + without term contract Health insurance 26 days of vacations Flexible work schedule and hybrid work model Professional development opportunities Trainings Collaborative and inclusive work environment Team events like summer parties, Christmas events and much more If this fits your career expectations apply now to and speak to Susana - our HR Manager.
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