Data Engineer

About Us 1GLOBAL is a technology-driven global mobile communications provider helping enterprises and consumer brands deliver seamless connectivity worldwide. Powered by a best-in-class telecom platform, proprietary eSIM technology, and its own mobile core network across 15 countries, 1GLOBAL operates as a fully regulated telecommunications provider in 43 countries. Founded in 2022, 1GLOBAL has rapidly become one of Europe's fastest-growing telecom technology companies, connecting more than 80 million people and devices globally. Our customers include leading banks, multinational enterprises, global retailers, travel companies, payment service providers, and digital-first businesses. Headquartered in the Netherlands, with R&D hubs in Lisbon, Berlin, and São Paulo, 1GLOBAL employs over 550 professionals across 16 countries. With annual revenues exceeding US$200 million and a strong track record of profitability, we continue to invest in innovation, infrastructure, and international expansion as we redefine the future of global mobile connectivity. About the Team The Data Engineering team sits within the Central Data function, reporting to the Head of Data. We own the full data value chain: ingestion from source systems (billing, CRM, network, product, support, compliance), the data lake and warehouse layers, data quality and freshness. We don't own what the numbers mean — that's the business's call — but we own making sure the numbers are correct, timely, and traceable back to source. You'll join Data Engineering as a hands-on engineer working on our core lake platform — ingesting high-volume network and customer data, modeling it into clean, reliable datasets, and making it available for reporting and self-service analytics across the business. About the Role Develop and implement data models, ensuring data accuracy, consistency, and reliability across raw and curated layers Create and optimize ETL/ELT pipelines that ingest data from source systems (billing, CRM, network, product, support) into our S3-based data lake Consume from and build reliable logic around Kafka topics, handling late, duplicate, or out-of-order events as they arrive Own data transformations in dbt, with tests and documentation so trust in the numbers is built in, not bolted on Orchestrate and monitor pipelines in Airflow, including retries, alerting, backfills, and SLAs Write efficient, well-structured SQL for transformation logic and ad-hoc investigation Contribute to data quality checks — completeness, freshness, reconciliation against source — and flag anomalies before they reach reporting Collaborate with team members to ensure smooth development processes and shared understanding. Take ownership of the quality and outcomes of your work, ensuring fully functional end-to-end flows. Create and maintain accurate, up-to-date technical documentation. Actively contribute to team discussions, with a mindset for continuous improvement and openness…