Tech_BI Data Engineer

Description

Job Summary: We are seeking a Data Engineer for Telefónica Tech’s BI team, focused on comprehensive data management—from source integration to data warehouse exploitation—using cutting-edge technologies. Key Highlights: 1. End-to-end creation of data engineering solutions from use case definition. 2. Collaborative, multidisciplinary teamwork with strong technical capabilities. 3. Opportunity to work with cutting-edge technologies and continuous training. **What is Telefónica Tech?** Telefónica Tech is the Group Telefónica’s leading digital transformation company. We offer an extensive portfolio of integrated technological services and solutions in Cybersecurity, Cloud, IoT, Big Data, Artificial Intelligence, and Blockchain, supporting our clients throughout their digital transformation journey. We are a group of over 6,200 bold professionals working daily from various locations worldwide to achieve excellence through transparent leadership and a strong team spirit. If you identify with our core values, we look forward to meeting you! www.telefonicatech.com **What Do We Do in the Team?** The BI team at Telefónica Tech carries out several key responsibilities—all centered on comprehensive data management, from origin to final exploitation. This begins with administration of the corporate data warehouse built on Snowflake. It entails not only maintaining the database but also optimizing it for efficient querying, ensuring data security, and overseeing integration of new data sources. As Data Engineers within our team, we are responsible for integrating and ingesting new data sources, as well as performing ETL/ELT processes into our data warehouse. To do so, we rely on tools within the Azure cloud ecosystem—primarily Databricks and Data Factory. Databricks, built on Apache Spark, enables advanced data analytics and empowers us to own our ingestion workflows. Meanwhile, Azure Data Factory allows us to automate and orchestrate data flows from multiple sources, transform data as needed, and load it into Snowflake for subsequent analysis and visualization in Power BI. Regarding Power BI: we develop dashboards and reports enabling data-driven business decisions. Data governance is another critical area of our responsibility. Our mission is to establish and maintain policies and procedures governing appropriate data usage across the organization—including ensuring data quality, confidentiality, integrity, and availability. **What Will Your Day-to-Day Look Like?** Your role will involve active participation in end-to-end data engineering solution development—from understanding the use case and data sources through to designing the data model. Your responsibilities span from data source integration to data warehouse exploitation using Spark in Databricks and SQL in Snowflake. You will also maintain and evolve our Spark-based ingestion developments for data capture. All this takes place within a multidisciplinary team possessing strong technical expertise—providing you the opportunity to apply a broad range of cutting-edge technologies for designing data management systems, leveraging diverse processing and modeling approaches. Your day-to-day responsibilities include: * Integrating new data sources. * Building new data pipelines. * Developing iterative enhancements to Spark-based ingestion processes. * Designing data exploitation strategies within the data warehouse. * Modeling data for new use cases using SQL. **And for that, we believe it would be ideal if you had…** **Experience** * Minimum 1 year of experience developing data pipelines using Python and PySpark. * Experience in Azure data-oriented environments: Azure Databricks, Azure Data Factory, and Azure DevOps. * Experience developing ETL/ELT processes, incremental ingestions, and analytical data modeling. * Experience with CI/CD environments and version control (Git). * Knowledge of Spark process optimization and handling large-scale datasets. * Familiarity with Medallion architecture (Bronze/Silver/Gold) design and implementation. **Education** + Degree in Computer Engineering, Telecommunications Engineering, Vocational Training, or equivalent professional experience. * Training courses aligned with our technology stack: Python, Spark, Git, Databricks, Snowflake, and/or Azure. **Technical Skills** * Python and/or Spark: intermediate-to-advanced level. * Git/DevOps: intermediate level. * SQL and/or PL/SQL: intermediate level. * Strong communication and teamwork skills. * Experience with Snowflake, Databricks, Azure Data Factory, or DBT is highly valued. **The skills that best align with the team and project for this role are:** * Organizational and communication skills; customer orientation. * Ability to build trust-based relationships with clients and maintain composure under stress. * Sense of urgency. * Synthesis and execution capability. **What Do We Offer?** * Work-life balance measures and flexible working hours. * Continuous training and certification opportunities. * Hybrid remote work model. * Attractive social benefits package. * Excellent, dynamic, and multidisciplinary work environment. * Volunteering programs. **\#WeAreDiverse \#WePromoteEquality** We firmly believe diverse and inclusive teams are more innovative, transformative, and deliver superior results. Therefore, we actively 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!