Trading Data Ops Engineer: Real-Time Data Reliability

Radley James; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A premier financial services firm in London is seeking a Data Engineer to serve as a frontline point of contact for traders and internal users. The ideal candidate has over 3 years of experience in data roles and strong Python skills. Responsibilities include managing data quality, developing ETL processes, and implementing data quality checks. This is an excellent opportunity to work in a cutting-edge trading environment.

Qualifications

• 3+ years in Data Engineering, SRE, SWE or Data Ops roles.
• Strong grasp of normalization and API development.
• Experience with lakehouse architectures (Databricks or Delta Lake).

Responsibilities

• Serve as frontline point of contact for data reliability.
• Monitor ingestion pipelines and real-time feeds.
• Develop and maintain ETL/ELT data pipelines.

Skills

Python proficiency

Data modeling

API development

ETL/ELT pipelines

Data quality checks

Tools

Pandas

Spark

Databricks

Job description

A premier financial services firm in London is seeking a Data Engineer to serve as a frontline point of contact for traders and internal users. The ideal candidate has over 3 years of experience in data roles and strong Python skills. Responsibilities include managing data quality, developing ETL processes, and implementing data quality checks. This is an excellent opportunity to work in a cutting-edge trading environment.