Data Engineer
- Goodcall
- Prague
- By agreement
We are seeking a highly skilled and experienced Data Engineer to join our team and play a key role in designing, developing, and implementing data pipelines.
What will you do?
The purpose of this position is preparation and review of business requirements, review of functional design and processes to support needs of common application used by 11 NN business units.
Determines system objectives by gathering and consolidating business requirements from Users and Product owner.
Decomposes both functional and non-functional requirements, document these requirements
Prepares Process, Use Case and Entity models
Prepares User Interface wire model
Defines detailed business rules
Participates on preparation of System, User and Compliance process and documentation
Reports to Users, Product Owner and Manager of PoLAR
What skills and knowledge should you posses
Experience of work on business risk / finance side and formulation/consolidation of business requirements
UML modeling
Knowledge of Enterprise Architect
Self-motivated and committed, well organized, diligent, highly result oriented
Willing to learn new things
Which competences are an advantage
BPMN
Cloud application design or Azure
Knowledge of insurance reporting
What can we offer
Opportunity to work in BizDevOps team that will keep you up to speed.
Home office, 5 weeks of vacation, and 5 annual sick days
3% employer supplemental pension monthly contribution
Unlimited budget for your education (hard and soft skills, Language courses)
Meal contribution, Cafeteria program, monthly home office allowance
Multisport card, partnership with various companies (Makro, Datart, Sony, Electrolux…)
iPhone 11, personal Office 365 License, O2 Family discounts
Volunteering days to support our community
Employee referral bonuses to encourage the addition of great new people to the team
Amazing working space near Anděl
We are seeking a highly skilled and experienced Data Engineer to join our team and play a key role in designing, developing, and implementing data pipelines.
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