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ETL Data Engineer – Fintech at Quant Capital – London | Jobyssey

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ETL Data Engineer – Fintech

ETL Data Engineer – Fintech

Quant Capital · London, United Kingdom · 3 weeks ago

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Category: Data engineering

airflow analytics api athena aws bigquery data-engineering data-modeling data-pipelines dbt elt etl fintech kinesis

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Data engineering jobs Remote Data engineering jobs Jobs in United Kingdom Data engineering jobs in United Kingdom

Design, build, and monitor large-scale batch and streaming ETL/ELT data pipelines in AWS for a fintech wealth management platform, enabling analytics, data modelling, and BI-driven decisions. Core stack includes SQL, Python/PySpark, Snowflake/Redshift, Terraform, Airflow, and DBT.

Overview

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.

Responsibilities

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

Key requirements

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)

Hybrid

agile

ai

airflow

analytics