Data Engineer with Kafka Ecosystem

Data Engineer with Kafka Ecosystem

Posted 2 weeks ago by Natobotics

Negotiable
Undetermined
Undetermined
London, England, United Kingdom

Summary: The Data Engineer with Kafka Ecosystem role requires a strong software engineering background and expertise in data streaming platforms, particularly within the Kafka ecosystem. The position emphasizes experience with public cloud platforms, preferably AWS, and a data-driven approach to problem-solving in the financial services sector. Strong communication skills are essential for engaging with various stakeholders effectively.

Key Responsibilities:

  • Develop and maintain data streaming platforms within the Kafka ecosystem.
  • Deploy and release services while ensuring automation and troubleshooting capabilities.
  • Utilize public cloud platforms, preferably AWS, for data management.
  • Apply mathematical and statistical models to assess trends in financial services.
  • Engage proactively with stakeholders to communicate findings and solutions.

Key Skills:

  • Strong software engineering background.
  • Experience with data streaming platforms, particularly Kafka.
  • Knowledge of deployment and release services.
  • Proficiency in automation and troubleshooting.
  • Experience with public cloud platforms, preferably AWS.
  • Ability to apply a data-driven and scientific approach to problem-solving.
  • Financial services knowledge.
  • Strong communication skills.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Strong software engineering background. Data Streaming platforms experience within Kafka ecosystem. Strong knowledge of deploy and release services, automation, and troubleshooting. Solid experience with public cloud platforms, preferably using AWS. Experience of using a data driven and scientific approach to fact finding. Financial services knowledge. Experience using mathematical and statistical models to assess trends. Strong communication skills with the ability to proactively engage with a wide range of stakeholders.