Senior Data Engineer

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultantsin 21 countriesand a turnover of €850M, we are committed to delivering impactful, future-ready solutions.Talan at a GlanceHeadquartered in Paris and operating globally, Talan combines technology, innovation, and empowermentto 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 revenuethis year.Our Core Areas of ExpertiseData & 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 & 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 & Innovation Consulting:We lead business and digital transformation initiativesthrough 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 & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.Job DescriptionWe are looking for an experiencedData Engineerto join a dynamic data engineering team and contribute to the development of modern, scalable data solutions within aMicrosoft Azure and Databricksenvironment.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 ResponsibilitiesDesign, develop and maintain scalabledata pipelines and ETL/ELT processesusingAzure Data Factory (ADF)andAzure Databricks.Develop efficient data processing and transformation solutions usingPythonand Databricks.Work with large and complex datasets, ensuring data quality, reliability and performance.Contribute to the design and implementation ofmodern data architectureswithin the Azure ecosystem.Work withMedallion Architectureprinciples to build robust and scalable data solutions.Support the development ofData Vault and Business Vaultarchitectures using Databricks on Azure.Work withMicrosoft Fabric and OneLake, including the use ofshortcutsto integrate and access data across different platforms.Contribute to data modelling activities withinAzure Data Warehouseand related analytical environments.Collaborate with Data Architects, Developers, Analysts and other stakeholders to understand requirements and translate them into effective technical solutions.Identify opportunities to improve data processing, architecture, performance and automation.Ensure solutions follow best practices around scalability, security, maintainability and data governance.QualificationsRequirementsProven professional experience as aData Engineer.Strong hands-on experience withAzure Data Factory (ADF).Strong experience withAzure Databricks.Good programming skills inPython.Solid understanding of data engineering principles, including ETL/ELT, data transformation and data modelling.Experience working with cloud-based data platforms and large-scale data processing.Good understanding ofSQLand relational data concepts.Nice to HaveExperience withMedallion Architecture.Knowledge ofData Vault / Business Vaultmethodologies.Experience implementing Data Vault solutions usingDatabricks on Azure.Experience withMicrosoft Fabric and OneLake, particularly OneLake shortcuts.Knowledge of data modelling inAzure Data Warehouse.Experience working within thefinancial services or wealth management sector.Familiarity with data governance, data quality and modern cloud data architecture principles.Additional InformationWhat do we offer you?Remote within Spain Time zone.Possibility to be part of a multicultural team and work on international projects.Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law **).#J-*****-Ljbffr

Proven professional experience as a Data Engineer . Strong hands-on experience with Azure Data Factory (ADF) . Strong experience with Azure Databricks . Good programming skills in Python . Solid understanding of data engineering principles, including ETL/ELT, data transformation and data modelling. Experience working with cloud-based data platforms and large-scale data processing. Good understanding of SQL and relational data concepts. Nice to Have Experience with Medallion Architecture . Knowledge of Data Vault / Business Vault methodologies. Experience implementing Data Vault solutions using Databricks on Azure . Experience with Microsoft Fabric and OneLake , particularly OneLake shortcuts. Knowledge of data modelling in Azure Data Warehouse . Experience working within the financial services or wealth management sector . Familiarity with data governance, data quality and modern cloud data architecture principles.

Remote within Spain Time zone. Possibility to be part of a multicultural team and work on international projects. Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law **). #J-*****-Ljbffr

Santiago de Compostela, La Coruña, España

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultantsin 21 countriesand 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 empowermentto 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 revenuethis year. Our Core Areas of Expertise Data & 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 & 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 & Innovation Consulting: We lead business and digital transformation initiativesthrough 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 & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.