ETL Data Engineer – Fintech

In this role you will design and manage large-scale data pipelines in AWS to support a fintech wealth management platform. You will work within a high-profile team to enable data analysis, modelling and BI-driven decision making. The position offers remote work with a fast-paced, technology-driven culture inspired by leading tech firms. You will drive robust data engineering practices and contribute to a disrupt-focused mission in wealth management.

• Design, build, and monitor large-scale batch and streaming data pipelines in an AWS environment
• Perform data analysis and data modelling to support analytics and reporting
• Develop and maintain ETL/ELT processes and data workflows

• Comp Sci or Engineering Degree
• Experience building complex data pipelines/ETL/ELT scripts
• Extensive SQL experience
• Strong AWS knowledge (S3, Kinesis, DMS, SNS, Glue, Athena, RDS)
• Experience with data warehouses (Snowflake, Redshift, BigQuery)
• Programming experience with Python or PySpark
• Experience with REST APIs
• Experience with BI tools (QuickSight, Looker, Power BI, Tableau)
• BI knowledge/experience
• Knowledge of Terraform, Airflow, DBT and Harness
• Modern data engineering practices

• AWS (S3, Kinesis, DMS, SNS, Glue, Athena, RDS)
• SQL
• Python
• PySpark
• REST APIs
• BI tools (QuickSight, Looker, Power BI, Tableau)