




**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 \& 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 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 \& Logistics, Financial Services, Energy \& Utilities, Retail, and Media \& Telecommunications.** **Job Description** We are looking for a highly skilled **Senior Data Engineer** with strong experience in designing, building, and maintaining scalable data solutions. The ideal candidate has a deep understanding of ETL processes, big data technologies, and modern analytics platforms, and is comfortable working in fast\-paced, data\-driven environments. **Key Responsibilities** * Design, develop, and optimize robust ETL pipelines to support data ingestion, transformation, and processing at scale. * Build and maintain high\-performance data models to support analytics, reporting, and data science initiatives. * Work with large\-scale distributed systems and data lake architectures (Apache Hive, AWS S3, etc.). * Ensure data quality through strong validation practices and automated testing. * Collaborate closely with cross\-functional teams to deliver secure, clean, and reliable data to downstream consumers. * Implement and maintain CI/CD pipelines and align code to static analysis tools such as Sonar or Fortify. * Work with BI tools and platforms (Databricks, Power BI, Starburst, etc.) to enable effective data visualization and insights. **Required Experience \& Skills** * **5\+ years of experience** in implementing ETL pipelines. * **3\+ years of experience** working with **Apache Spark**. * **3\+ years of hands\-on experience** with **Scala** programming. * **2\+ years of experience** with **BI tools** (Databricks, Power BI, Starburst, or similar). * Strong expertise in **SQL** and relational database systems. * Experience designing and implementing **data models** for enterprise use cases. * Familiarity with **data lakes** and cloud\-based storage environments (Apache Hive, AWS S3\). * Strong background in **data validation**, **unit testing**, and best practices for code quality. * Solid understanding of **CI/CD** principles and experience delivering high\-quality code in production environments. **Additional Information** **What do we offer you?** * Full\-time contract. * Smart Office Pack so that you can work comfortably from home. * Training and career development. * Benefits and perks such as **private medical insurance**, life insurance. * Possibility to be part of a multicultural team and work on international projects. * **This is a remote position based in Málaga, Spain. Relocation is mandatory.** * Possibility to manage work\-permits. **If you are passionate about development \& tech, we want to meet you!** 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 6/2019\).


