Data Engineer

1Global·Berlin, Germanymid

In short

→Ingeniero de datos que construye y mantiene pipelines de alta volumetría para datos de red y clientes.
→Trabajas con Kafka, S3, dbt y Airflow en un entorno de datos escalable y crítico para el negocio.
→Destacado: trabajas directamente con datos que impactan a 80 millones de usuarios globales.

Conocimiento de inglés técnico (requisito mínimo para el rol)

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What they ask for

✓Experiencia en desarrollo de pipelines ETL/ELT con alta volumetría.
✓Conocimiento práctico de Kafka, S3 y procesamiento de eventos.
✓Habilidades sólidas en SQL y transformaciones con dbt.
✓Experiencia con Airflow para orquestación y monitoreo de pipelines.
✓Enfoque en calidad, frescura y trazabilidad de datos.
✓Capacidad para trabajar en equipo y tomar propiedad de tu trabajo.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

KafkaS3dbtAirflowSQLData LakeData WarehouseETLELTS3-based data lake

Who should you write to at 1Global?

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About Us 1GLOBAL is a technology-driven global mobile communications provider, delivering global connectivity solutions to enterprises and consumers. Powered by a best-in-class telecom platform with its own owned and operated global mobile core network in 15 countries, fully fledged in-house developed eSIM technology, and an extensive portfolio of telecom licenses; 1GLOBAL operates as a fully regulated telecommunications provider across 43 countries worldwide. The company serves many of the world’s leading banks, multinational enterprises, global retailers and digital-first businesses, including neo-banks, global fast moving consumer goods companies, travel leaders, and payment service providers. Today, 1GLOBAL connects more than 80 million people and devices globally, enabling our customers to launch, scale, and innovate with confidence in the mobile ecosystem. 1GLOBAL is a profitable, fast-growing business. With full-year revenues in 2025 exceeding US$200 million and profits of over US$25 million, we generate strong cash flows to fund our growth allowing us to continuously invest in infrastructure, platform innovation, and global expansion. In 2026 also the parent of the Lidl Group acquired a 10% interest in 1GLOBAL as part of a deal for Lidl to offer globally to its 180 million consumers communication services. Recent years have marked a defining phase in 1GLOBAL’s journey, with major enterprise and mass-consumer client wins accelerating its evolution into a global mobile connectivity powerhouse, purpose-built to enable consumer brands to enter and succeed with their own aspirations to offer telecommunications services to their clients. Founded in 2022 by experienced technology entrepreneurs, Hakan Koç and Pyrros Koussios, 1GLOBAL has rapidly emerged as a European technology leader shaping the future of global telecommunications. It operates as a fully regulated Mobile Virtual Network Operator (MVNO) in 15 countries and as a regulated telecom operator in an additional 28 markets. Headquartered in the Netherlands, with world-class R&D hubs in Lisbon, Berlin, and São Paulo, its team of close to 550 experts across 16 countries is united by a single ambition: to redefine global mobile connectivity through technology, scale, and execution excellence. 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.

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