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# Data Engineer

- **Company:** 1GLOBAL
- **Location:** Berlin, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon S3, Apache HTTP Server, BigQuery, Customer Data Management, Data Validation, Information Engineering, Extract Transform Load (ETL), Apache Hive, Python (Programming Language), Query Optimization, Standard Sql, SQL Databases, Data Processing, Snowflake, Apache Spark, Data Lakes, Apache Kafka, Data Pipelines, Amazon Redshift
- **Published:** August 30, 2026
- **Apply:** https://www.adzuna.de/details/5859993094

## About the Role

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)

## Description

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.


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