Structured capture and analysis of complex business requirements and translating these into sustainable data strategies
Technical design and modeling of data structures
Ensuring excellent data quality by defining standards
Strategic integration and harmonization of diverse data sources
Proactive project management in close coordination with clients and the development team

Requirements

A completed degree in a STEM field, economics, or a comparable qualification
At least 2–3 years of solid experience at the intersection of business and data
Deep understanding of data architectures (DWH/Data Lake) and ETL/ELT processes
Proficient in SQL and strong knowledge of another programming language (preferably Python)
Ideally, experience with modern cloud ecosystems (AWS, Azure, GCP)
Experience applying agile methodologies (Scrum, Kanban)

Benefits

Varied tasks and challenges that give you the opportunity to develop both personally and professionally
Transparent communication is important to us - we share information through regular team meetings and provide feedback
Flexible work-life balance with remote work options
Financial support for training and personal development
Attractive perks such as fringe benefits, team events, company pension schemes, discounts, and much more...

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata strategiesdata structuresdata qualitydata architecturesETLELTSQLPythonagile methodologies

Soft Skills

project managementclient coordination