Data Engineer
Tasks
- Automate ingestion and pipeline support tasks
- Build and modernize data platform
- Collaborate with product data onboarding data quality and operations
- Create tooling for data ingestion and quality assurance
- Design scalable data models
- Develop reusable financial data pipelines
- Implement data quality checks and validation
- Improve operational efficiency and reduce pipeline toil
- Optimize SQL queries and data workflows
- Prototype agentic workflow patterns for data pipelines
Perks/Benefits
- Annual purchase holiday
- Cashback Health Plan
- Death in service support
- Employee perks platform
- Group income protection
- Gym membership discount
- Referral bonus
- Travel insurance
- Virtual GP service
Skills/Tech-stack
AWS | AWS IAM | Agent SDK | Airflow | Alation | Amazon Redshift | Anthropic Agent SDK | Apache Flink | Apache Spark | Autogen | Azure | Azure Data | Azure Data Factory | Azure IAM | BigQuery | CI/CD | Cloud platform | Contract testing | CrewAI | Dagster | Data Factory | Data Quality | Databricks | Datahub | Delta Lake | Docker | GCP | GCP IAM | Git | Google Cloud | Google Cloud Platform | Kafka | Kinesis | LLM | Langchain | Llamaindex | OpenMetadata | Prefect | Python | SQL | Schema Validation | Snowflake | Spark SQL | Unity Catalog
Education
N/A
Roles
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