Data Engineer, Global Telecom Data Platform

1GLOBAL; Poland; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Growth opportunities

Major transaction exposure

Talented team

Dynamic work environment

Professional development

International experience

Open communication culture

Get things done attitude

Job summary

1GLOBAL is seeking a hands-on Data Engineer to join the Data Engineering team. You will build and maintain the core lake platform, ingesting high-volume network and customer data, modeling it into reliable datasets, and enabling reporting and self-service analytics.

You will own ETL/ELT pipelines, work with Kafka and dbt, and collaborate with teams to ensure data quality and timely delivery. A background in Python and SQL is essential, with experience on AWS stack.

Qualifications

• 3-5 years of hands-on data engineering experience.
• Strong SQL with window functions and query optimization.
• Experience building data pipelines on AWS S3, Glue, and Athena or equivalent.
• Understanding of data modeling from raw to conformed layers.
• Experience consuming from Kafka or similar streaming systems.
• Proficiency in Python for ETL and automation.
• Strong communication skills.

Responsibilities

• Develop and implement data models ensuring data accuracy across raw and curated layers.
• Create and optimize ETL/ELT pipelines ingesting data into the S3-based data lake.
• Consume from Kafka topics and build reliable logic for late/duplicate/out-of-order events.
• Own data transformations in dbt with tests and documentation.
• Orchestrate pipelines with Airflow, including retries and SLAs.
• Write efficient SQL for transformations and ad-hoc investigations.
• Contribute to data quality checks and flag anomalies.
• Collaborate with team for smooth development processes.
• Own end-to-end data flows and maintain documentation.

Skills

SQL

Python

Data engineering

Data pipelines

Kafka

Communication

Tools

AWS S3

AWS Glue

AWS Athena

Spark

dbt

Airflow

Iceberg

Job description

1GLOBAL is seeking a hands-on Data Engineer to join the Data Engineering team. You will build and maintain the core lake platform, ingesting high-volume network and customer data, modeling it into reliable datasets, and enabling reporting and self-service analytics.

You will own ETL/ELT pipelines, work with Kafka and dbt, and collaborate with teams to ensure data quality and timely delivery. A background in Python and SQL is essential, with experience on AWS stack.