Scalable data pipeline and strategic visualization engineering on Cint's BI team, working with cloud data warehouses and translating business KPIs into technical requirements.
Responsibilities
- ▹Design and build scalable, automated data pipelines (ETL/ELT) and data models
- ▹Develop sophisticated dashboards and reporting tools for leadership and analysts
- ▹Establish data governance: documentation, metadata management, and data quality practices
- ▹Audit and optimize SQL queries and dashboard performance
- ▹Act as a technical consultant to non-technical departments defining KPIs
- ▹Lead code reviews and mentor junior engineers
Requirements
- ▹5+ years of experience in BI engineering, data engineering, or a similarly technical analytics role
- ▹Practical experience with cloud data warehouses (Databricks, Snowflake, or BigQuery), Databricks preferred
- ▹Strong understanding of dimensional modeling (Star/Snowflake schemas) and modern data stack tools (e.g. dbt)
- ▹Expert-level SQL skills (complex joins, window functions, performance tuning)
- ▹Deep expertise in at least one enterprise BI platform (Tableau, Power BI, Looker), Omni + Power BI preferred
Nice to have
- ▹Experience with version control (Git) and CI/CD workflows
- ▹Experience working in an Agile/Scrum environment
- ▹Experience working in a global, 100% remote team
- ▹Experience in the ResTech industry
- ▹Knowledge of Salesforce
- ▹Knowledge of statistical analysis and machine learning concepts
Soft skills
Strategic communicationCollaborative agilityMentorship
About the company
Cint is a global market research technology platform, recognized in Newsweek's 2025 Global Top 100 Most Loved Workplaces.
Education: BSc/MSc informatika, információs rendszerek, statisztika vagy rokon kvantitatív terület
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