Senior Data Engineer

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Talan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-07

Consulting • Enterprise • SaaS

Talan is a global company specializing in supporting organizations through positive innovation and transformation. With a presence in 18 countries across 5 continents, Talan offers a diverse range of solutions that enhance decision-making, integrate technology into business strategies, and reinvent business models for resilience and operational excellence. Talan excels in data management and governance, AI-powered solutions, cybersecurity, and cloud platforms. By partnering with leading technology providers like Microsoft, SAP, Oracle, and Salesforce, Talan aims to democratize data use and drive low-carbon transitions. The company also focuses on industries such as energy, transport, financial services, and more, providing insights and solutions tailored to the specific needs of these sectors.

📋 Description

• Design, develop and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory 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 shortcuts to integrate and access data across different platforms • Contribute to data modelling activities within Azure Data Warehouse and 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

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Remote within Spain • Possibility to be part of a multicultural team • Work on international projects • CET working hours