
51 - 200 employees
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
Vigil is a tech consultancy company specializing in software engineering and cloud transformation. They focus on creating exceptional digital products that drive business value and are committed to innovation. Vigil values recognition, appreciation, work/life balance, and opportunities for growth, ensuring happiness and motivation for their teams. They invite clients to collaborate with them to bring projects to life.
🔥 0 minutes ago
BigQuery
Cloud
Distributed Systems
Google Cloud Platform
Grafana
Java
Kafka
Kubernetes
Prometheus
Python
Terraform
Go
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
Vigil is a tech consultancy company specializing in software engineering and cloud transformation. They focus on creating exceptional digital products that drive business value and are committed to innovation. Vigil values recognition, appreciation, work/life balance, and opportunities for growth, ensuring happiness and motivation for their teams. They invite clients to collaborate with them to bring projects to life.
• Join our engineering team and be a valued member working closely in a collaborative, autonomous, cross-functional team • Build and maintain scalable data processing platforms and services on GCP • Design and develop event-driven architectures using GCP-native services • Develop and maintain data pipelines and backend services using Python • Contribute to infrastructure automation and platform provisioning using Terraform • Support containerised workloads running on GKE • Implement monitoring, observability, and operational best practices • Collaborate closely with product and engineering teams to deliver reliable platform capabilities • Participate in platform support and operational ownership activities • Improve testing, deployment, and software delivery practices • Contribute to architectural discussions and long-term platform evolution
• Strong experience working within cloud-native engineering environments • Strong hands-on experience with Google Cloud Platform (GCP) • Experience with BigQuery, Pub/Sub, Dataflow, and Cloud Functions • Strong Python development experience • Experience building and supporting distributed systems • Experience with Infrastructure as Code using Terraform • Understanding of containerised environments and Kubernetes concepts • Experience with CI/CD pipelines and modern engineering practices • Strong problem-solving skills and systems-thinking mindset • Experience working in Agile development environments, particularly in a Scrum framework • Strong English communication skills, both written and verbal • Awesome but not required: • Experience with GKE • Experience working with Go • Experience working with Java • Experience with Kafka • Experience with Grafana, Prometheus, or similar observability tooling • Experience managing cloud IAM and security controls • Experience supporting high-volume data platforms
• Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture • A culture in which we don’t criticise failure but ensure we learn from our mistakes • An Agile environment where your ideas are welcome • The possibility to grow and experience different projects • Ongoing Training & Mentoring • The possibility of travelling
Apply Now🕒 June 8
11 - 50
Data Engineer focused on designing and maintaining data infrastructure for fraud detection. Join Xcelirate to build scalable data pipelines powering fraud detection and analytics.
Airflow
Apache
ETL
Flask
MySQL
Python
SQL
Tableau
🕒 May 28
Data Engineer creating and optimizing data pipelines for a health technology organization. The role involves translating complex data structures into healthcare standards while ensuring data quality and security.
Airflow
Amazon Redshift
Apache
AWS
Python
Spark
SQL
🕒 May 23
Senior Data Engineer working on AI & Agentic Pipelines at SIXT Data Shop. Collaborating with a team to innovate and enable advanced data capabilities for global clients.
Amazon Redshift
AWS
Cloud
Python
SQL
🕒 May 19
Senior Data Engineer at Mindera designing and operating data pipelines. Collaborate on cloud environments and maintain ETL processes for real-time and batch data.
Airflow
Apache
AWS
Azure
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Kafka
Kubernetes
Python
Spark
SQL
Terraform
Vault
🕒 April 27
Data Engineer creating analytics applications for digital logistics systems. Collaborating with cross-functional teams to shape the future of parcel sorting analytics.
Angular
Grafana
Groovy
Java
Kafka
Kubernetes
Node.js
TypeScript