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1GLOBAL·Other·15 days ago
15 days ago

Data Engineer

Lisbon, PortugalFull-timeMid · 3-5 yearsData Engineer

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Must-have skills for this role

  • sql
  • aws
  • s3
  • python

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Apply faster with autofill FREE1GLOBAL uses Workable - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • 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 to new ideas or technologies.

What they're looking for

  • 3-5 years of hands-on data engineering experience
  • Strong SQL — comfortable with window functions, CTEs, query optimization
  • Solid experience building and maintaining data pipelines on AWS S3, Glue, and Athena (or a closely comparable lake/warehouse stack — e.g. Spark + Hive/EMR, BigQuery, Redshift, Snowflake, Exasol — if you know the S3/Glue/Athena equivalents well)
  • Practical understanding of data modelling: raw → conformed layers, dimensional modelling basics, thinking about how a table will actually be queried
  • Experience consuming from Kafka (or another streaming/message system) as a data source
  • Advanced proficiency in Python for ETL development, data manipulation and system automation
  • Strong communication skills

Nice to have

  • Airflow — DAG design, retries, backfills
  • dbt — modelling, testing, documentation
  • Exposure to Apache Iceberg or other open table formats
  • Experience in telecom or another high-volume, regulated data environment (finance, healthcare)

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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. 
  • 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 to new ideas or technologies. 

Requirements

About You

Must Have

  • 3-5 years of hands-on data engineering experience 
  • Strong SQL — comfortable with window functions, CTEs, query optimization 
  • Solid experience building and maintaining data pipelines on AWS S3, Glue, and Athena (or a closely comparable lake/warehouse stack — e.g. Spark + Hive/EMR, BigQuery, Redshift, Snowflake, Exasol — if you know the S3/Glue/Athena equivalents well) 
  • Practical understanding of data modelling: raw → conformed layers, dimensional modelling basics, thinking about how a table will actually be queried 
  • Experience consuming from Kafka (or another streaming/message system) as a data source 
  • Advanced proficiency in Python for ETL development, data manipulation and system automation 
  • Strong communication skills  


Nice to Have

  • Airflow — DAG design, retries, backfills 
  • dbt — modelling, testing, documentation 
  • Exposure to Apache Iceberg or other open table formats 
  • Experience in telecom or another high-volume, regulated data environment (finance, healthcare) 

Benefits

Why 1GLOBAL?

  • Growth Opportunities: Advance your career in one of the fastest growing telecommunications companies, expanding over 50% year-on-year under the leadership of successful tech entrepreneurs.
  • Major Transaction Exposure: Be in the driver’s seat for transactions that will have an impact on the future telco industry.
  • Work with a Talented Team: From the Board and the Founders to the Senior Management Team, you will collaborate daily with the most capable and renowned external advisors and constantly being exposed to talented and driven individuals.
  • Dynamic Work Environment: Thrive in a collaborative, fast-paced workplace where innovation is encouraged, and every contribution counts.
  • Professional Development: Work alongside industry experts to enhance your skills and knowledge in a cutting-edge field.
  • International Experience: Gain opportunities to work in different 1GLOBAL offices around the world as you grow within the company.
  • Open Communication Culture: Join a team where your ideas are heard, and open dialogue is encouraged, fostering a supportive and transparent work environment.
  • Get Things Done Attitude: Be part of a results-driven team that values efficiency, creativity, and the drive to make a tangible impact in the industry.


1GLOBAL is an equal opportunity employer, we value your character as much as your talent. Diversity drives our innovation, and we offer a collaborative, dynamic, and international work environment. We are excited for you to join our mission to revolutionise connectivity globally.

Other

Company

1GLOBALOther
Lisbon, Portugal

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from 1GLOBAL's careers site·first seen 28 Aug 2026·last verified 8 Sept 2026·How we source jobs

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