Data Engineer (Financial Services)
Tasks
- Automate data processing and platform improvements
- Build and optimize ETL and ELT frameworks
- Build cloud data platform architecture and engineering standards
- Collaborate with product, engineering, and compliance teams
- Create datasets and semantic data models for self service analytics
- Design and build batch data pipelines
- Design and build real-time data pipelines
- Develop data models for reporting analytics risk and compliance
- Ensure data lineage and observability
- Implement data governance security privacy and compliance
- Implement data quality controls and monitoring
- Integrate banking payment and messaging data
Perks/Benefits
- Career progression
- Certification support
- Hybrid working
- Learning budget
- Supportive work life balance culture
Skills/Tech-stack
AWS | Apache Airflow | Apache Kafka | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Event | Azure Event Hubs | DBT | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Databricks | Dimensional Modeling | ELT | ETL | Event Hubs | Google Cloud | ISO 20022 | Observability | Open Banking | Privacy | Python | SEPA | SQL | Security | Swift
Education
N/A
Roles
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