Senior Data Engineer

NJF Global Holdings

London, UK

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

find.jobs

Tech stack

Amazon Web Services Big Data Information Engineering Distributed Data Store Distributed Systems Python (Programming Language) Online Analytical Processing Operational Databases SQL Databases Snowflake Apache Spark Data Lakes

+4 more

Apache Kafka Data Management Data Pipelines Databricks

Job description

Build & evolve a large-scale Data Lakehouse (AWS)
Develop Python-based data pipelines for high-volume financial data
Design OLAP / distributed data models for analytics & trading use cases
Optimise performance across multi-region data platforms
Ensure data quality, reliability, and consistency at scale
Partner with quants, researchers, and traders on critical data products

Requirements

Strong Python + SQL (essential)
5+ years in data engineering / platform engineering
AWS experience in production data environments
Hands-on with Spark / Kafka / Snowflake / Databricks (or similar)
Experience with data lakes / lakehouse / distributed systems
Background in financial services, trading, or quantitative environments

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