Finance & Regulatory Reporting Data Pipeline Engineer

Gtx UK Llp

Greater London

Hybrid

GBP 52,000 - 90,000

Full time

4 days ago
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Benefits offered by this job

25 days holiday.
Casual work environment
One day WFH per week after probation

Job summary

Mirae Asset Securities Co., Ltd. in London seeks a MASUK Software Engineer to build data pipelines behind finance and regulatory reporting. You will own data flow from the platform to reporting outputs and collaborate with finance, operations and compliance teams.

Responsibilities include creating Python/Java ETL pipelines, implementing data quality checks, and supporting vendor integrations. Exposure to finance/regulatory contexts is a plus, with an office-based role offering one day WFH per

Qualifications

  • Solid working knowledge of Python and/or Java.
  • Practical experience with relational databases and SQL (e.g. Postgres).
  • Working command of Linux.
  • Careful, methodical approach to data accuracy.
  • Excellent written and verbal communications skills.

Responsibilities

  • Build and maintain Python ETL pipelines from core platform to reporting datasets.
  • Develop reconciliation and data quality checks, and investigate breaks.
  • Work with finance, operations and compliance to translate reporting requirements into pipelines.
  • Support vendor integrations and submission workflows.
  • Reporting is the primary focus, with work across the core trading platform as it develops.

Skills

Python
Java
SQL
Linux
Data quality

Tools

Postgres
Kafka
Git
AWS

Job description

Mirae Asset Securities Co., Ltd. in London seeks a MASUK Software Engineer to build data pipelines behind finance and regulatory reporting. You will own data flow from the platform to reporting outputs and collaborate with finance, operations and compliance teams.

Responsibilities include creating Python/Java ETL pipelines, implementing data quality checks, and supporting vendor integrations. Exposure to finance/regulatory contexts is a plus, with an office-based role offering one day WFH per

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