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Join a forward-thinking organization as a Data Engineer, where you'll bridge raw business data and the creative needs of data scientists. In this role, you will build and maintain data pipelines, ensuring data quality and availability, while collaborating with a diverse team of professionals. This position offers a permanent full-time contract with a hybrid work model, allowing you to work flexibly. You'll have the chance to work on impactful projects, contributing to data-driven decision-making and fostering a culture of innovation. If you're ready to take on this challenge, we encourage you to apply!
Descripción del trabajo
We are looking for a Data Engineer for our Business Analytics team to form the bridge between our raw business data, with their specific technical and business representations, and the creative data-needs of our Data Scientists and Visualization experts. The engineer will be responsible for managing, optimizing and monitoring data retrieval, storage and distribution throughout the team, thereby supporting our business objectives and fostering data-driven decision-making across the organization. Our data engineer will collaborate with Data Scientists, Visualisation Experts, Business Analysts and IT colleagues in several domains, in order to improve :
Main responsibilities :
Required skills :
Experience in the following is considered an asset :
What do we offer?
This is a great opportunity to join an organization with a social mission, in an international environment, and to work with specialized professionals involved in projects that are carried out with the utmost rigor. We offer you a permanent full-time contract (35 hours) with flexible schedule, hybrid work model (on-site working hours in Madrid), competitive salary, according with the responsibilities of the position, and social benefits.
Are you ready to face the challenge? Don't think twice and send us your CV in English.
We are firmly committed to equal opportunities, respect for diversity and the reconciliation of work, family and personal life. We work every day to promote a diverse and inclusive workplace and work environment, in which all people, regardless of gender, age, ethnic origin, social or economic status, sexual orientation, gender expression or identity, physical or health condition, religion, political affiliation, or any other difference or condition, have the real opportunity to develop and reach their potential.
Data Engineer
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