Senior Data Engineer (Data Services team)

CUJO AI is the leading provider of artificial intelligence solutions for network service providers. We use machine learning and real-world data to develop and deliver cutting-edge cybersecurity, device intelligence, and parental controls that enable network operators to offer better and safer connected experiences to millions of households.

We are looking for a Senior Data Engineer to join our Data Services team. Candidates will work in a diverse environment both in terms of nationality and expertise. Its responsibility is designing, developing, and operating the products that enable data analytics across the organization and all its customers. We mainly work with Cloud native solutions (AWS) and bleeding-edge technology.

• Work together with CUJO AI specialists to improve the quality of our operations.
• Design, develop and operate systems for processing high volume data streams.
• Orchestrate micro-services, containers, and large-scale data pipelines.
• Contribute to company-wide practices for effectively and securely design, develop and operate our services.

• Experience with AWS services.
• Experience with streaming platforms (such as Apache Kafka, …).
• Experience with data transformation platforms (such as Apache Spark, Apache Flink, …).
• Troubleshooting experience (such as Data Pipelines, Cloud Services, …).
• Understanding of distributed storage platforms (Objects Storage, SQL & NoSQL, …).
• Experience with data analytics and search engines (ElasticSearch, PrestoDB, …).
• Experience with CI/CD pipelines (Jenkins, AWS CodePipeline, …).
• Strong communication and collaboration skills in real and virtual setups.
• Documentation skills (processes, diagrams, technical designs).
• Experience with Agile Development Methodologies.
• Passion for software development and engineering.
• Hands-on and can-do attitude.

• You will have ability to work flexible hours and choose your preferred location – home office or CUJO AI office
• Modern development equipment
• Opportunity to learn from highly skilled colleagues
• Ambitious projects and meaningful cause
• Team Building and company events
• Conferences, training, books – anything for your development
• 100 hours/year for training during paid business hours
• Multiple Bonus systems, as Performance, AWS Certifications, Inventions and other
• Benefits package that includes Lunch, Recreational, Bicycle (only FIN), Health insurance benefits and more!