Data Engineer

Be part of a dynamic and ambitious team. I'm are looking for a competent and experienced Data Engineer. In this role, you will be responsible for designing and implementing data solutions, data architecture and engineering, developing CI/CD Pipelines, optimizing infrastructure, working with relational and No-SQL databases, automation, configuration, diagnostics, and developing tools for dataset optimization. The ideal candidate must have experience with relational (Oracle, MSSQL, MySQL ) and No-SQL databases, automation of tasks using tools and scripting languages (Ansible, Chef), awareness of integration and streaming platforms, development and maintenance of CI/CD Pipelines in Jenkins, data architecture and engineering, and experience in a technical environment including banking architecture. If you believe that you possess the right combination of experience and skills for this role, I would love to hear from you.

🚀 Project

• design and implementation of data solutions
• data architecture and engineering
• development of CI/CD Pipelines
• Infrastructure support and optimization
• working with relational and No-SQL databases
• automation, configuration and diagnostics
• development of tools for dataset optimization
• mentoring other engineers
  

🎯 Skills

• experience with relational (Oracle, MSSQL, MySQL ) and No-SQL databases
• automation of tasks using tools and scripting languages (Ansible, Chef)
• awareness of integration and streaming platforms
• development and maintenance of CI/CD Pipelines in Jenkins
• data architecture and engineering
• experience in a technical environment including banking architecture
• designing solutions for data acquisition, storage and distribution
• strong analytical mindset
• min. English B2
  

💡 Plus

• experience with building large and complex datasets
• working with building infrastructure to automate high volumes of data delivery
• creating data tools for analytics and data science teams
• Supporting the construction of infrastructure for optimal data extraction, transformation and loading from a wide range of data sources
• monitoring the performance of data solution designs, including ensuring ongoing optimization