Descripción de la oferta
Here at CORUS we are looking for a Data Engineer to join our team in an international project.Location: Remote from Spain.You will:Work closely with business and technical teams to deliver actionable insights from data.Design and build scalable, reusable, and resilient data pipelines within a cloud-based environment.Develop and maintain data pipelines using Snowflake SQL and Matillion.Contribute to the development of data warehouse solutions, including data vault modelling approaches.Ensure data quality, integrity, and transparency across all delivered data products.Collaborate with cross-functional Agile teams to ensure seamless delivery aligned with business needs.Act as a technical point of contact, providing guidance and support to stakeholders.Troubleshoot technical issues and implement effective, high-quality solutions.Design cloud-based solutions tailored to business and technical requirements.You should have:1–2 years of experience building data warehouse solutions, ideally with Snowflake.Hands-on experience with Snowflake SQL and data pipeline development.Exposure to data visualisation tools.Understanding of data modelling concepts.Knowledge of cloud platforms and serverless architectures.Experience working in Agile environments and cross-functional teams.Strong analytical and problem-solving skills.Ability to work independently with minimal guidance.Good understanding of business processes and data usage.Ability to manage multiple priorities and workstreams.Attention to detail and strong sense of ownership.Proactive and solution-oriented mindset.Bachelor's degree in IT, Business, or a related field.English level B2 or higher (Spanish is a plus).What do we offer:Flexible remuneration and a personalized training plan.People-focused team.Dynamic work environment, with real possibilities for professional growth.International projects of high technological value.At CORUS we are very conscious of the importance of respecting diversity. No one will be excluded from this call for applications on the grounds of race, colour, age, sex, marital status, ideology, political opinions, nationality, religion, sexual orientation and/or any other personal, physical or social condition. This process is aimed at choosing the best professionals through a selection process based exclusively on merit and skills.
