Data Engineer (32640)

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