AWS Data Engineer

Overview

In this role you will design, build and monitor large-scale batch and streaming data pipelines in an AWS cloud environment to support real-time data needs. You will work within an agile, tech-driven environment focused on scaling a leading fintech SaaS product for wealth management. The position offers a highly technical, low-drama culture with a strong emphasis on modern data engineering practices. You will help shape data architecture and enable data-driven decision making across the business. This is a remote role with occasional travel to the London office and a strong opportunity to impact international growth.

Responsibilities

• Design, build, monitor and manage large-scale batch and streaming data pipelines in AWS
• Data analysis and reporting support
• Reverse engineer existing SQL scripts to understand and improve data flows
• Data modelling and schema design

Key requirements

• Experience building complex data pipelines/ETL/ELT scripts
• Extensive experience with SQL
• Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery
• Experience with Python
• Knowledge of AWS components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS
• Experience with implementing REST APIs
• BI knowledge/experience
• Knowledge of tools Terraform, Airflow, DBT and Harness
• Knowledge of modern data engineering practices

• collaborative
• problem-solving
• self-motivated
• SQL
• Python
• ETL/ELT pipelines