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Kyriba
Kyriba

Data Team Manager

Permanent contract
Saint-Cloud
Salary: Not specified
No remote work

Kyriba
Kyriba

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Job description

General Purpose: 

As part of our data-as-a-service vision, Kyriba is investing in AI and ML. We want to automate the manual and time-consuming tasks performed daily by our customers and provide them insights to make better decisions.

As part of the data engineering team, mixing product and technical expertise, you will be taking the lead of a new research and development team. This is a new team we are creating to build a cutting-edge Real Time BI platform to support our ambitions.

Your role: 

  • In charge of new Real Time BI platform and tools quality and delivery

  • Active role in the development and architecture of the platform

  • Manage a team of 10+ senior data engineers, Dev & QA across two sites

  • Coach teams on processes and practices.

  • Write documentation and master in Jira tracking.

  • Ensure service production readiness: E2E integration Tests, Monitoring, Arlerting, …

  • Proposing technical tools regarding on the different use cases identified across the four main products of Kyriba: Treasury, Payment, Risk management, Supply Chain Finance. The use cases are diversified, such as Fraud detection, cash Forecasting, Predictive maintenance for instance.

    • Your profile :

  • Master’s degree in Computer Science, Information Systems, Engineering or related field.

  • A minimum of 8 years of experience in software development in either a SaaS or Software editor.

  • Technologies: Software development (Java/Python), RDBMs, Software Factory (Jenkins/Linux)

  • Analytical skills and be able to understand and interpret the underlying matters

  • High level of commitment for excellence

  • You are creative and curious by nature. Large-scale machine learning (Big Data) and the industrialization of machine learning pipelines are subjects that you consider to be of primary importance.

  • Knowledge or experience about streaming platform such as Apache Kafka and Stream processing frameworks such as Apache Flink or Spark Streaming is a plus

  • A first experience in Treasury Management would be appreciated

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