Data Enablement & AdTech Engineer

Key Accountabilities - Design, plan, and deliver telecom data enablement capabilities, audience solutions, and advertising data products aligned with business and monetization objectives. - Prioritize and coordinate data engineering, platform development, and integration activities to support product roadmap execution and stakeholder requirements. - Manage the end-to-end delivery of data initiatives, ensuring timely implementation of scalable, high-quality, and privacy-compliant solutions. - Support the development of data monetization capabilities that create new revenue opportunities through telecom data products and audience solutions. - Identify opportunities to improve platform efficiency and optimize data processing costs while maintaining performance and scalability. - Collaborate with internal stakeholders across product, commercial, technology, and delivery teams to translate business requirements into data solutions. - Build and maintain effective relationships with external partners, including CDPs, DSPs, clean rooms, and data onboarding providers, to ensure seamless data activation. - Support Agile delivery practices and drive continuous improvement of data platforms, audience solutions, and operational processes. Qualifications - Bachelor's degree in Computer Science, Data Engineering, Information Systems, Telecommunications, or a related field. - Master's degree in a relevant discipline is preferred. Experience - 6+ years of experience in data engineering, telecom analytics, AdTech, digital advertising, or data monetization environments. - Experience developing and managing large-scale data platforms, ETL/ELT pipelines, and data integration workflows. - Experience working with telecom datasets such as CDRs, network events, location intelligence, and subscriber data. - Experience collaborating with cross-functional teams and external technology partners. Skills - Strong proficiency in SQL and Python for large-scale data processing, analytics, and automation. - Hands-on experience with enterprise data platforms and technologies such as Cloudera, Apache NiFi, - Databricks, Teradata, and Hadoop ecosystem tools. - Strong understanding of telecom data ecosystems, audience creation, and data monetization principles. - Knowledge of advertising technology platforms including CDPs, DSPs, DMPs, identity solutions, and audience activation platforms. - Experience with privacy-compliant data solutions and understanding of GDPR and related data protection regulations. - Familiarity with cloud data platforms (AWS, Azure, and/or GCP) and machine learning/analytics tools. - Knowledge of identity resolution, audience segmentation, clean rooms, and privacy-enhancing technologies. - Strong analytical, problem-solving, and data modelling capabilities. - Excellent stakeholder management, communication, and cross-functional collaboration skills. - Ability to work in Agile environments and manage multiple priorities effectively.