Senior Data Engineer

Empresa: Talan
Provincia: Madrid
Población: 
Descripción: Company Description Company Description Talan - Positive Innovation Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions. Talan at a Glance Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we´ve built a strong presence in the IT and consulting landscape, and we´re on track to reach €1 billion in revenue this year. Our Core Areas of Expertise - Data and Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. - Cloud and Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. - Management and Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies. We work with major global clients across diverse sectors, including Transport and Logistics, Financial Services, Energy and Utilities, Retail, and Media and Telecommunications. Job Description We are looking for an experienced Data Engineer to join a dynamic data engineering team and contribute to the development of modern, scalable data solutions within a Microsoft Azure and Databricks environment. You will play a key role in designing, developing and maintaining data pipelines and data platforms, working with large and complex datasets to support business intelligence, analytics and data-driven decision-making. This is an excellent opportunity for a Data Engineer who enjoys working with modern cloud technologies and is interested in data architecture, modelling and building robust data solutions. Key Responsibilities - Design, develop and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks. - Develop efficient data processing and transformation solutions using Python and Databricks. - Work with large and complex datasets, ensuring data quality, reliability and performance. - Contribute to the design and implementation of modern data architectures within the Azure ecosystem. - Work with Medallion Architecture principles to build robust and scalable data solutions. - Support the development of Data Vault and Business Vault architectures using Databricks on Azure. - Work with Microsoft Fabric and OneLake, including the use of shortcuts to integrate and access data across different platforms. - Contribute to data modelling a...
Tecnologías: Python, ETL, Databricks
Tipo de Contrato: Indefinido
Salario: Sin especificar
Experiencia: 3 años
Funciones: Big Data
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