
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.
🔥 5 minutes ago
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.
• Engineer robust data pipelines for extracting, transforming, and loading (ETL) data into GCP (Google Cloud Platform) • Design and implement scalable and efficient data models on GCP (Google Cloud Platform) • Develop and maintain data architecture, ensuring optimal performance and reliability • Utilize GCP's big data services such as BigQuery, Dataflow, and Dataprep for large-scale data processing • Implement and maintain data security measures following industry best practices • Collaborate with product management teams to understand their requirements • Manage and maintain changes to tracking specifications based on product and feature teams requirements • Communicate your needs clearly and responsibly
• Deep understanding of GCP as a platform, its capabilities and services • Experience with Dataflow, BigQuery, Pub/Sub, Cloud Functions, and Memorystore / Redis • Strong experience with database management and optimization, including experience with SQL and NoSQL databases. This includes an in-depth understanding of data modelling, storage, and efficient querying techniques • Strong analytical and problem-solving skills to resolve complex technical issues. • Strong experience with CI/CD pipelines • Experience with Java, Python • Experience working in Agile development environments, particularly in a Scrum framework. • Strong English communication skills, both written and verbal • Awesome but not required: Terraform, Kafka
• 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 to travel
Apply Now🕒 2 days ago
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