Senior Data Engineer at Peridot Capital Solutions Hungary Services Kft. – Budapest | Jobyssey

Design and implement data models aligned with industry best practices
Build and optimize scalable data warehousing and lakehouse solutions and ensure data integrity end-to-end
Create and own robust ELT pipelines connecting multiple internal and external data sources
Contribute to architectural decisions and bring senior-level technical depth
Track structure and maintain key business metrics and KPIs
Build and maintain governance processes including data lineage metadata and quality monitoring
Implement automated data quality checks validation and testing
Define and enforce data standards naming conventions and documentation practices
Partner with Product Operations Finance and other teams to understand data needs
Mentor and guide team members to elevate engineering standards
Translate business requirements into robust technical solutions
Ensure compliance with data governance privacy and security standards
Drive adoption of best practices across the organization

5+ years of hands-on SQL experience including analytical queries and performance tuning
3+ years of designing and operating large-scale data warehouse systems
Strong knowledge of data modeling including dimensional modeling schema design and architecture patterns
3+ years of experience with a major cloud provider such as AWS Azure or GCP
Experience with orchestration tools such as Airflow or Dagster
5+ years of real programming experience in languages such as Python Java or Scala
Experience with modern cloud data platforms including Snowflake Redshift Databricks and BigQuery

Deep dbt experience including modeling testing CI/CD and performance tuning
Hands-on experience integrating dbt with orchestration tools and cloud workflows
Ability to understand the business and translate needs into solutions
Snowflake expertise including data loading table design permission models DDL/DML and views
Experience building AI-ready data solutions for both human users and AI agents
Experience with BI tools such as Power BI Tableau including DAX and Power Query
Infrastructure as code experience with Terraform AWS CDK or KDE
Streaming and Kafka experience including event driven architectures real time data pipelines schema design and operating streaming systems at scale

Senior Data Engineer

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