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# Senior Data Streaming Engineer - Data Platform

- **Company:** EVENTIM
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Batch Processing, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), DevOps, Data Flow Control, Python (Programming Language), Queueing Systems, Cloud Services, Prometheus, DataOps, Data Streaming, Datadog, Google Cloud, Event Driven Architecture, Apache Flink, Spark Streaming, Terraform, Stream Processing, Data Pipelines, Apache Beam
- **Published:** August 9, 2026
- **Apply:** https://www.adzuna.de/details/5833705435

## About the Role

* 4+ years of experience in Data Engineering with a focus on real-time/streaming pipelines.
 * Strong expertise with Google Cloud Platform (GCP): Dataflow, Pub/Sub, BigQuery, Cloud Storage, Cloud Composer, etc.
 * Proficiency in Apache Beam (or equivalent frameworks such as Spark Structured Streaming, Flink).
 * Solid programming skills in Python.
 * Experience with data modeling, schema design, and data stitching across multiple sources.
 * Knowledge of cloud-native DevOps practices (Terraform, Cloud Deployment Manager, CI/CD pipelines).
 * Strong problem-solving skills and ability to work in fast-paced environments.
 * Hands-on knowledge of data observability tools (e.g., Datadog, Prometheus, OpenLineage).
 * Strong understanding of event-driven architectures and message queues.
 * Prior experience in high-volume, mission-critical data environments.

## Description

We are seeking a highly skilled Data Engineer with deep expertise in real-time data streaming, cloud data platforms (Google Cloud Platform), and Apache Beam. In this role, you will design, build, and optimize streaming data pipelines that enable scalable, reliable, and high-quality data flows. You'll collaborate closely with data scientists, analysts, and software engineers to ensure data is efficiently stitched, transformed, and delivered to power analytics, AI, and business intelligence initiatives., * Design, implement, and maintain real-time streaming pipelines using Apache Beam and GCP services (e.g., Dataflow, Pub/Sub, BigQuery, Cloud Storage).

 * Develop scalable ETL/ELT solutions for both streaming and batch processing.
 * Implement data stitching strategies to integrate multiple data sources into unified, high-quality datasets.
 * Ensure data quality, reliability, and observability across pipelines.
 * Optimize data workflows for performance and cost-efficiency in cloud environments.
 * Apply best practices in CI/CD, infrastructure-as-code, and monitoring for data pipelines.
 * Contribute to data governance, security, and compliance efforts.


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