Data Engineer – Fintech
Quant Capital · London, England ·
Overview
In this role you will design and manage large-scale batch and streaming data pipelines on AWS to power a fintech wealth management platform. You will work within an agile dev team, focusing on real-time data, data modelling and analysis to enable scalable data-driven decisions. You’ll collaborate across cross-functional teams to build robust data infrastructure and drive the international expansion of the client’s SaaS offering. This is a technically hands-on position with a calm, open culture and remote-first setup with London office travel.
Pay / Benefits
- remote work
- open dress code
- calm and relaxed atmosphere
Responsibilities
- Design, build, monitor and manage large-scale batch and streaming data pipelines in AWS
- Data analysis
- Data modelling
Key requirements
- Degree in Computer Science or Engineering
- Experience building complex data pipelines/ETL/ELT
- Extensive SQL experience
- Strong AWS knowledge (S3, Kinesis, DMS, SNS, Glue, Athena, RDS)
- Experience with data warehouses (Snowflake/Redshift/BigQuery)
- Python or PySpark experience
- Experience implementing REST APIs
- BI knowledge/experience
- Familiarity with Terraform, Airflow, DBT and Harness
- Knowledge of modern data engineering practices
- collaborative
- problem-solving
- self-motivated
- SQL
- AWS (S3, Kinesis, DMS, SNS, Glue, Athena, RDS)
- Snowflake
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