Job Summary: We are seeking a technical, creative, and meticulous Data Engineer to develop data ingestion and normalization processes for large volumes of data in a dynamic environment. Key Highlights: 1. Technical, creative, and meticulous role focused on data ingestion and modeling. 2. Continuous training and certifications for your professional development. 3. Excellent dynamic and multidisciplinary work environment. **What is Telefónica Tech?** Telefónica Tech is the leading digital transformation company within the Telefónica Group. We offer a comprehensive portfolio of integrated technology services and solutions in Cybersecurity, Cloud, IoT, Big Data, Artificial Intelligence, and Blockchain, supporting our clients throughout their digital transformation journey. We are a team of over 6,200 bold professionals working daily from various locations worldwide to achieve excellence through leadership rooted in transparency and teamwork. If you identify with our core values, we look forward to meeting you! www.telefonicatech.com**What do we do in the team?** The AI & Big Data business unit at Telefónica Tech supports clients in their digital transformation journey by unifying capabilities in Artificial Intelligence, Big Data, IoT, and Blockchain. This team’s mission is to help organizations improve performance through a global offering of products and services—including strategic consulting, infrastructure deployment, development and industrialization of analytical models, and training on emerging technologies, among others. Therefore, we seek motivated individuals with genuine expertise in these areas and enthusiasm for continuously learning new technologies. **What will your day-to-day look like?** This role is responsible for developing large-volume data ingestion processes as well as associated data normalization processes. It is a technical, creative, and meticulous position, aimed at capturing and modeling information of diverse nature, orchestrating related processes to enable provisioning into storage systems—serving as a prerequisite for subsequent analytical and indicator visualization processes. Some typical day-to-day activities may include: * Extracting functional and non-functional requirements from client-defined needs regarding data ingestion and transformation. * Conducting descriptive analysis of existing information in internal organizational sources, as well as additional external sources (e.g., open data or third-party data). * Cleaning, transforming, modifying, and processing data as required to align with the intended final use (e.g., analytics, visualization, etc.) within the defined architectural toolset. * Designing and organizing the most efficient structure for storing ingested or transformed data. * Automating execution of ingestion and transformation processes to ensure the data lifecycle within the Big Data solution. * Designing and implementing functional and non-functional test plans to validate code quality and minimize risk in production environments. * Producing documentation and transferring knowledge to end users. **And for this, we believe it would be ideal if you had…** **Experience** * Required: +1 year of experience in Data Engineer projects. **Education** * Required: University degree (Bachelor’s, Licentiate, or Senior Engineer—or equivalent) in STEM disciplines: engineering, computer science, or sciences. * Preferred: Postgraduate specialization in Big Data, data processing, or related fields: Master’s or PhD. * Preferred: Non-university training, pursued independently, in Big Data, data processing, or related areas. **Technical Knowledge** Required: * Programming experience in Python. * Experience using relational SQL databases. Desirable: * Knowledge of ETL techniques and application production deployment. * Experience using cloud platforms (AWS, MS Azure, Google Cloud). * Experience using on-premise platforms (Cloudera). * Experience with Big Data tools such as Spark or Hadoop ecosystem components. * Experience using non-relational NoSQL databases. **To perform this role, the following skills would align well with the team and project:** * Teamwork. * Communication skills (with ability to adapt messaging depending on whether the audience is technical or non-technical). * Interpersonal skills. * Programming and database knowledge. * Theoretical and practical experience in end-to-end data processing: ingestion, transformation, monitoring, orchestration, and productionization. **Languages** * Required: Spanish (very high level), English (high level). * Desirable: Other languages. **What do we offer?** * Work-life balance measures and flexible working hours. * Continuous training and certifications. * Hybrid remote work model. * Attractive social benefits package. * Excellent dynamic and multidisciplinary work environment. * Volunteering programs. **#WeAreDiverse #WePromoteEquality** We firmly believe that diverse and inclusive teams are more innovative, transformative, and deliver better results. Therefore, we promote and guarantee inclusion for all individuals regardless of gender, age, sexual orientation or identity, culture, disability, or any other condition. We want to meet you!