Data Engineer

1GLOBAL is a technology-driven global mobile communications provider delivering global connectivity solutions to enterprises and consumers. The company operates a global mobile core network in 15 countries and eSIM technology, serving customers across 43 countries worldwide. Its clients include banks, multinational enterprises, retailers, neo-banks, FMCG companies, travel leaders, and payment service providers. Founded in 2022, 1GLOBAL is headquartered in the Netherlands with R&D hubs in Lisbon, Berlin, and São Paulo, employing about 550 experts in 16 countries.

Must Have:

• 3-5 years of hands-on data engineering experience
• Strong SQL skills including window functions, CTEs, and query optimization
• Experience building and maintaining data pipelines on AWS S3, Glue, and Athena or comparable lake/warehouse stacks like Spark, Hive/EMR, BigQuery, Redshift, Snowflake, or Exasol
• Practical understanding of data modelling including raw to conformed layers and dimensional modelling basics
• Experience consuming from Kafka or similar streaming/message systems
• Advanced proficiency in Python for ETL development, data manipulation, and automation
• Strong communication skills

Nice to Have:

• Experience with Airflow DAG design, retries, backfills
• Experience with dbt modelling, testing, documentation
• Exposure to Apache Iceberg or other open table formats
• Experience in telecom or other high-volume, regulated data environments such as finance or healthcare

• Develop and implement data models ensuring data accuracy, consistency, and reliability across raw and curated layers
• Create and optimize ETL/ELT pipelines ingesting data from source systems into S3-based data lake
• Consume and handle data from Kafka topics, managing late, duplicate, or out-of-order events
• Own data transformations in dbt with tests and documentation
• Orchestrate and monitor pipelines in Airflow including retries, alerting, backfills, and SLAs
• Write efficient and well-structured SQL for transformation logic and investigations
• Contribute to data quality checks and flag anomalies before reporting
• Collaborate to ensure smooth development processes and shared understanding
• Take ownership of quality and end-to-end flow functionality
• Maintain accurate and up-to-date technical documentation
• Contribute to team discussions with focus on continuous improvement and openness to new ideas or technologies