Data Engineer

1GLOBAL

. Develop and implement data models across raw and curated layers .

Posted 10/15/2026full-timeLisbon • PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing data models, optimizing ETL/ELT pipelines, and ensuring data quality within AWS environments. Proficient in SQL and Python for data manipulation and automation, with a strong focus on collaboration and documentation.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyAWS S3, Glue, and AthenaPython for ETL DevelopmentKafka Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL/ELT Pipeline OptimizationSQL Query OptimizationAirflow OrchestrationDbt Data TransformationsData Quality ChecksTechnical DocumentationData ManipulationStreaming Data ConsumptionAnomaly Detection

Soft Skills

Strong Communication SkillsCollaboration

Tools & Technologies

AWS S3AWS GlueAWS AthenaApache KafkaAirflowDbtApache Iceberg

Industry Keywords

TelecomHigh-Volume Data EnvironmentRegulated Data Environment

Tech Stack

Tools & technologies

AirflowApacheAWSETLKafkaPythonSQL

About the role

Key responsibilities & impact

Develop and implement data models across raw and curated layers
Create and optimize ETL/ELT pipelines ingesting billing, CRM, network, product, and support data into an S3-based data lake
Consume from and build reliable logic around Kafka topics, handling late, duplicate, and out-of-order events
Own dbt data transformations, including tests and documentation
Orchestrate and monitor Airflow pipelines, including retries, alerting, backfills, and SLAs
Write efficient SQL for transformation logic and ad-hoc investigation
Contribute to data quality checks covering completeness, freshness, and source reconciliation
Flag anomalies before they reach reporting
Collaborate with team members to ensure smooth development processes and shared understanding
Own the quality and outcomes of work, ensuring fully functional end-to-end flows
Create and maintain accurate, up-to-date technical documentation
Contribute to team discussions and continuous improvement

Requirements

What you’ll need

3-5 years of hands-on data engineering experience
Strong SQL, including window functions, CTEs, and query optimization
Experience building and maintaining data pipelines on AWS S3, Glue, and Athena, or a closely comparable lake/warehouse stack
Practical understanding of data modelling, including raw → conformed layers and dimensional modelling basics
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
Airflow experience is nice to have, including DAG design, retries, and backfills
dbt experience is nice to have, including modelling, testing, and documentation
Exposure to Apache Iceberg or other open table formats is nice to have
Experience in telecom or another high-volume, regulated data environment is nice to have

Benefits

Comp & perks

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: Collaborate daily with capable and renowned external advisors and talented, driven individuals.
Dynamic Work Environment: 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: Opportunities to work in different 1GLOBAL offices around the world as you grow within the company.
Open Communication Culture: Supportive and transparent work environment where ideas are heard and open dialogue is encouraged.
Get Things Done Attitude: Results-driven team valuing efficiency, creativity, and tangible impact.
Equal opportunity, collaborative, dynamic, and international work environment.