Jobgether
Senior Data Engineer GCP
TLDR
Build and scale cloud-native data platforms on GCP, shaping real-time and batch data processing for a digital streaming ecosystem with event-driven architectures.
Accountabilities
- Design, build, and maintain scalable data processing platforms and services on Google Cloud Platform (GCP), ensuring performance, reliability, and scalability at scale.
- Develop event-driven architectures using native GCP services such as Pub/Sub, Dataflow, BigQuery, and Cloud Functions.
- Build and maintain data pipelines and backend services using Python, supporting both batch and real-time data processing needs.
- Contribute to infrastructure automation and cloud provisioning using Terraform, ensuring repeatable and scalable deployments.
- Support and optimize containerized workloads running on Google Kubernetes Engine (GKE), ensuring stability and performance.
- Implement monitoring, logging, and observability solutions to ensure operational excellence across data services and pipelines.
- Collaborate closely with product, data, and engineering teams to deliver reliable platform capabilities and improve end-to-end data workflows.
- Participate in platform operations, including incident support, troubleshooting, and continuous improvement initiatives.
- Contribute to CI/CD improvements, testing strategies, and software delivery best practices.
- Take part in architectural discussions and contribute to the long-term evolution of the data platform.
- Strong experience in cloud-native engineering environments with a focus on data platforms and distributed systems.
- Hands-on expertise with Google Cloud Platform (GCP), including services such as BigQuery, Pub/Sub, Dataflow, and Cloud Functions.
- Strong programming experience in Python, including building production-grade data pipelines and services.
- Solid understanding of distributed systems architecture and event-driven design patterns.
- Experience with Infrastructure as Code using Terraform in production environments.
- Familiarity with containerized applications and Kubernetes concepts (GKE experience is a plus).
- Experience building and maintaining CI/CD pipelines and working with modern DevOps practices.
- Strong analytical and problem-solving skills with a systems-thinking mindset.
- Experience working in Agile environments, ideally using Scrum methodologies.
- Excellent English communication skills, both written and verbal.
- Exposure to Kafka, Go, Java, or advanced observability tools (Grafana, Prometheus) is considered an advantage.
- Opportunity to work on a large-scale, cloud-native streaming data platform
- Fully remote or hybrid flexibility depending on location (Brazil/Portugal only)
- Collaborative and autonomous engineering culture with shared ownership
- Strong focus on learning, mentoring, and continuous technical development
- Exposure to modern GCP-based architecture and distributed systems at scale
- Agile environment where experimentation and innovation are encouraged
- Opportunities to contribute to high-impact architectural decisions
- Potential for international collaboration and travel opportunities
- Culture that values learning from failure and continuous improvement
Requirements
Benefits
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Learning Budget
Strong focus on learning, mentoring, and continuous technical development
Culture valuing learning from failure and continuous improvement
Culture that values learning from failure and continuous improvement
Remote-Friendly
Fully remote or hybrid flexibility depending on location (Brazil/Portugal only)
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Senior Data Engineer