Freelance Data engineer (ZZP)

The Customer Contact Analytics (CCA) Team is responsible for generating continuous insights of KPN's business operations. We achieve this by collecting customer contact events across multiple channels, and processing/analysing them using various techniques (incl. but not limited to AI, GenAI, ML, and NLP). Our application is used by several hundreds of internal users, generating business value in the millions per year. The team is currently composed of a Product Owner and 3 Data Scientists, supported by external ML Engineers. In order to accelerate CCA's performance to near-real time, we are looking for talented Software/Data Engineers.

Responsibilities:

• Redesign and optimize our Kafka streaming components to reduce latency, increase throughput, and increase event consumption rate.

• Upgrading/Developing new components of a multilayered application to enable near real-time data processing.

• Monitor, maintain and debug all components daily to ensure stability and consistency.

Requirements:

• Proven track record in software development and system architecture, with a strong emphasis on real-time data processing and streaming technologies.

• Expertise in designing, building, and maintaining scalable, high-performance software systems that are robust and reliable.

• Strong analytical and problem-solving skills, with the ability to work effectively in a dynamic, fast-paced environment.

• Experience with continuous integration/continous deployment (CI/CD) practices and DevOps culture.

• Ability to work collaboratively in a cross-functional team and communicate complex technical concepts to non-technical stakeholders.

• Quick learner, with a willingness to familiarize and learn basic ML concepts.

• Working Experience with API design and development.

• Working Experience with ETLs.

• Working Experience following Agile methodologies.

Languages & Tools:

• Proficient in Python for data processing, software development and backend services.

• In-depth knowledge of Kafka & Confluent Kafka for real-time event streaming and data integration.

• Skilled in Containerization technologies such as Docker.

• Experience with Azure Cloud services. Certification is preferred.

• Experience with AWS. Certification is preferred.

• Experience with Elastic Stack.

• Experience with SQL and Database integrations.

 • Dutch speaking required

We would like to receive a CV that clearly shows that you meet the strict requirements. Make this clear in your motivation letter.

Apply only if you meet all the requirements.