Senior Data Streaming Engineer - Data Platform (m/f/d)

Eventim USA Llc; Deutschland; A distancia; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

30 days vacation + up to 15 unpaid

EU workation 25 days

Flexible working hours

Ticket discounts

Bike leasing

Job Ticket Germany Ticket subsidy

Mental health program

Descripción de la vacante

Eventim USA Llc in Germany seeks a Data Engineer to design, build, and optimize real-time streaming pipelines. You will collaborate with data scientists, analysts, and software engineers to ensure data is stitched, transformed, and delivered for analytics, AI, and BI initiatives.

The role emphasizes Apache Beam on GCP, Python, data modeling, and observability, with a focus on scalable, cost-efficient cloud data platforms and strong DevOps practices.

Formación

• 4+ years of data engineering experience with real-time pipelines.
• Strong knowledge of GCP services and Apache Beam.
• Fluent in Python and data modeling across sources.

Responsabilidades

• Design, implement, and maintain real-time streaming pipelines on GCP.
• Build scalable ETL/ELT for streaming and batch processing.
• Ensure data quality, observability, and security across pipelines.
• Collaborate with data scientists and engineers to deliver reliable data.

Conocimientos

Real-time data streaming

Python

Data modeling

Problem solving

Collaborative work

Herramientas

Apache Beam

Google Cloud Platform (GCP)

Dataflow

Pub/Sub

BigQuery

Cloud Storage

Terraform

CI/CD

Datadog

Prometheus

OpenLineage

Descripción del empleo

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.**Key Responsibilities:*** 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.**Key Requirements:*** 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. **Benefits*** 30 days of paid vacation plus the option of up to 15 days of unpaid leave* 25 days of workation within the EU* Flexible working hours* Sofa Concerts and employee events* Discounts on ticket purchases & opportunities for clearing assignments* Corporate benefits and discounts at KESS* Central location & subsidy for a Job Ticket or Germany Ticket* Bike leasing* Mental health program & company pension scheme* “GoFluent” language learning platform as well as Lunch & Learn sessions We value diversity and treat all applications equally – regardless of gender, background, age, religion, disability, or sexual orientation. Different perspectives enrich our team and make EVENTIM stronger.