Google Cloud Architect / Data Engineer (Apache Beam / Dataflow) (m/w/d)

Randstad Professional; Düsseldorf; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Zusammenfassung

Randstad Professional in Düsseldorf is seeking a Senior Google Cloud Data Engineer to design, build, and optimize scalable data solutions on Google Cloud Platform with hands-on streaming experience, preferably delivered from nearshore.

You will design and maintain data models, data architectures, ensure quality, governance, security, and work with cross-functional teams including data scientists and engineers to deliver reliable data pipelines.

Qualifikationen

• Proven experience designing and deploying scalable data pipelines on GCP.
• Hands-on streaming and real-time data processing experience.
• Strong data governance and security awareness.

Aufgaben

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform.
• Build data processing solutions.
• Develop and optimize data transformation and integration workflows.
• Work with large-scale datasets using Google Cloud data services.
• Design and maintain data models and cloud-based data architectures.
• Ensure data quality, governance, security, and operational reliability.
• Monitor and optimize pipeline and query performance.
• Collaborate with data architects, analysts, data scientists, software engineers, and business stakeholders.

Kenntnisse

Data flow analysis

Data Modeling

Google Cloud Platform

Stakeholder management

Streaming hands-on experience

Kafka/Confluent

Dataflow / Apache Beam

Jobbeschreibung

Senior Google Cloud Data Engineer

to design, build, and optimize scalable data solutions on Google Cloud Platform with hands-on streaming technology experience. Preferable delivered from nearshore

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform.
• Build data processing solutions.
• Develop and optimize data transformation and integration workflows.
• Work with large-scale datasets using Google Cloud data services.
• Design and maintain data models and cloud-based data architectures.
• Ensure data quality, governance, security, and operational reliability.
• Monitor and optimize pipeline and query performance.
• Collaborate with data architects, analysts, data scientists, software engineers, and business stakeholders.

Streaming technologies

Pub/Sub, Dataflow / Apache Beam, real-time or near-real-time pipelines, event-driven architectures, Kafka / Confluent or streaming into BigQuery

Skills

• Data flow analysis
• Data Modeling
• Google Cloud Platform
• Stakeholder management
• Streaming hands-on experience
• Kafka/Confluent
• Dataflow / Apache Beam