IT & Software

ETL Data Engineer

Quant Capital

London · Greater London · United Kingdom

Overview

In this role you will design and manage large-scale batch and streaming data pipelines in AWS, enabling real-time insights for a leading fintech client. You’ll work within an agile, cross-functional software team focused on expanding a successful SaaS wealth management platform internationally. The role emphasizes data modeling, analysis, and modern data engineering practices to drive scalable solutions. This is a hands-on, technically driven position in a collaborative, tech-forward environment with clear opportunities to impact product outcomes.

Pay / Benefits
  • salary up to 75,000
  • 10% pension
  • bonus and shares
  • remote with occasional travel to Central London office
Responsibilities
  • Design, build, monitor and manage large-scale batch and streaming data pipelines in AWS
  • Data analysis and data modeling responsibilities
Key requirements
  • Comp Sci or Engineering Degree
  • Experience building complex data pipelines/ETL/ELT
  • Extensive SQL
  • Strong AWS knowledge (S3, Kinesis, DMS, SNS, Glue, Athena, RDS)
  • Experience with data warehouse databases (Snowflake, Redshift, BigQuery)
  • Python/PySpark
  • Experience implementing REST APIs
  • BI knowledge/experience
  • Knowledge of Terraform, Airflow, DBT, Harness
  • Modern data engineering practices
  • AWS
  • S3
  • Kinesis
  • DMS
  • SNS
  • Glue

Reference: WJ-747_30136370

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