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Data Engineer

1GLOBAL Open · verified Oct 24, 2026
On-site São Paulo Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at 1GLOBAL. São Paulo · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationSão Paulo
WorkplaceOn-site
EmploymentFull-time
PostedAug 28, 2026 · 8w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build models across raw and curated data layers, keeping records accurate, consistent and dependable
  • Create and tune pipelines that move billing, CRM, network, product and support data into the S3 lake
  • Process Kafka events reliably, accounting for messages that arrive late, more than once or out of sequence
  • Manage dbt transformations and Airflow runs, including tests, documentation, retries, alerts and backfills
  • Use SQL to transform and investigate data, and check freshness, completeness and source reconciliation

What you bring

  • You have three to five years of practical data engineering experience
  • You write advanced SQL and Python for pipeline development, data handling and automation
  • You have built AWS S3, Glue and Athena pipelines, or comparable lake and warehouse systems
  • You understand raw-to-conformed data layers, dimensional modeling and how tables will be queried
  • You have used Kafka or another streaming or messaging system as a data source

Who this fits

This is a hands-on, mid-level engineering role focused on the core data lake, with responsibility for end-to-end flow quality and technical documentation. The role is based onsite in São Paulo, Brazil.

From the employer

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 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

What We Offer?

  • CLT contract — enjoy job stability and reliable benefits that value your work
  • Quarterly performance bonuses to reward your hard work and achievements
  • Meal allowance paid into Caju card — R$100 per working day
  • Health insurance with SulAmérica — 50% covered by the company
  • Extended parental leave — 180 days of maternity leave and 20 days of paternity leave.
  • Daycare allowance provided to mothers with children under 3 years old — R$500 per month per child


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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.