Senior Data Engineer

Summary

Join a thriving 50-person SME as a Senior Data Engineer in a fully remote position. This role involves co-defining, implementing, and maintaining a new data architecture (ESB + MDM or Data Lake). You will validate the choice of an ESB (MuleSoft or open source), implement the chosen ESB and data flows, and establish a centralized repository. The ideal candidate possesses 7+ years of data experience, expertise in data management, IT architecture, and open-source technologies, and proven experience with ESB implementation, API development, and SQL queries. The company offers a dynamic environment with a young CEO and growth opportunities. The position can be fully remote with occasional on-site visits.

Requirements

• At least 7 years of experience in the data universe, with a thorough understanding of the lifecycle and main management tools
• Proven experience in implementing an ESB and APIs
• Experience developing ad-hoc SQL queries
• Strong knowledge of Python and Java languages
• Enthusiasm for Open Source technologies
• Strong interest in data architecture

Responsibilities

• Co-define, implement, and maintain the new Data architecture (ESB + MDM or Datalake)
• Validate the choice of an ESB (MuleSoft or other open source) within two months
• Implement the chosen ESB and progressively integrate data flows (approximately one hundred) between 2 and 8 months
• Identify and implement a centralized repository (MDM or DataLake)
• Participate in projects to evolve the data ecosystem (adding or changing software, functional evolutions, AI integration)

Preferred Qualifications

Experience working in a fully remote environment

Benefits

Fully remote position with 1 or 2 round trips to the office per month