**Location:** Hybrid – Central Office and Remote **Contract Type:** Permanent **Professional Challenge** Are you passionate about turning data into value to drive digital marketing results? If you're motivated to build and optimize data pipelines, facilitate campaign instrumentation, and enable advanced analytics for marketing teams, this role is for you. We invite you to work in an inclusive, collaborative and innovation-focused environment where you can grow professionally and actively contribute to data\-driven strategies. **Responsibilities of Data Engineering in Digital Marketing** ----------------------------------------------------------------- * Design, build and maintain robust pipelines for collecting, ingesting and transforming large volumes of data related to campaigns, digital channels and user behavior. * Integrate internal and external data sources (CRM, analytics, AdTech/MarTech platforms, social media, ecommerce) to create data lakes and warehouses optimized for marketing and advertising analytics. * Collaborate with data science, BI, marketing and development teams to ensure availability, quality and integrity of data used in predictive models, attribution and audience segmentation. * Automate data cleaning, normalization and validation processes, ensuring efficient and scalable operations. * Participate in ETL performance monitoring and incident resolution to guarantee reliable and up-to-date data flows. * Document architectures, processes and best practices to facilitate data management and governance. ### **Requirements – Data Engineering and Management for Digital Marketing and Advertising** * University degree, technical training or validated experience in Computer Engineering, Computer Science, Data Science, Statistics, Mathematics, or related fields. * At least 3 years of experience building ETL/ELT pipelines and data architectures in digital projects, preferably within marketing, media or advertising contexts. * Advanced proficiency in SQL, Python and/or data integration tools (Airflow, Fivetran, Talend, etc). * Knowledge of relational and non-relational databases (BigQuery, Snowflake, PostgreSQL, MongoDB, etc). * Experience working with APIs from advertising platforms, web analytics tools and marketing automation systems. * Experience with cloud solutions (GCP, AWS, Azure) and adaptability to modern data frameworks will be highly valued. * Intermediate/advanced technical English is a plus, especially for documentation and international collaboration. #### **Main Tasks – Data Pipelines, Integrations and Support for Marketing Analytics** * Extract structured and unstructured data from campaign platforms, landing pages, tracking tools and sales sources. * Develop scripts and services for large-scale data processing and consolidation. * Ensure traceability, availability and continuous quality of data delivered to analytics, BI and data science teams. * Optimize existing pipelines to improve efficiency, reduce processing times and support new reporting and analytical modeling needs. * Document and keep updated data dictionaries, schemas and integration flows. * Collaborate in defining and implementing security, privacy and compliance standards for marketing data processing. ##### **Professional Profile – Analytical Orientation, Dynamism and Collaborative Work** * Logical thinking and excellent ability to structurally design technical data-related solutions. * Proactive approach towards continuous improvement and process automation. * Effective communication skills to interact with multidisciplinary teams: marketing, data science, IT and business. * Constant curiosity and willingness to learn new tools and trends in data engineering and marketing automation. * Commitment to diversity, inclusion and respect in all professional environments. ###### **Benefits – Development in Data Engineering, Analytical Marketing and Professional Growth** * Competitive salary, incentives aligned with goal achievement and high-impact projects. * Continuous training programs in data engineering, digital marketing and cutting-edge technologies. * Participation in innovative digital transformation initiatives in marketing and media. * Flexible hours, hybrid/remote work and respectful, inclusive environment. * Real opportunities for growth and learning alongside a leading team in business-oriented applied analytics.