Senior Data Engineer
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Summary
Senior data engineer in Budapest who designs data models, owns ELT pipelines, and builds scalable warehouse/lakehouse solutions on Snowflake and a major cloud (AWS/Azure/GCP), using dbt, Airflow/Dagster, Terraform and Kafka, while driving data governance, quality monitoring, and mentoring teammates.
- 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
Skills
- Agentic AI
- AI
- Airflow
- AWS
- Azure
- BigQuery
- CDK
- CI/CD
- Cloud
- Dagster
- Data Governance
- Data Lineage
- Data Modeling
- Data Pipelines
- Data Quality
- Data Warehousing
- Databricks
- dbt
- Dimensional Modeling
- ELT
- Event Driven Architecture
- GCP
- Infrastructure as Code
- Java
- Kafka
- Lakehouse
- Power Query
- Power BI
- Python
- Redshift
- Scala
- Snowflake
- SQL
- Tableau
- Terraform
