Software Engineer - Interim

dnevo Partners; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

dnevo Partners is seeking a Software Engineer to build data pipelines and applications supporting finance and regulatory reporting for a new financial-markets platform. The role focuses on data movement from core trading to finance outputs, with exposure to trading and core-platform development as the system grows.

The candidate will develop Python/Java ETL pipelines, implement data validation and monitoring, and collaborate with finance, operations and regulatory teams.

Qualifications

• Solid working knowledge of Java and/or Python.
• Strong SQL and relational-database skills.
• Experience with data pipelines, ETL or data-intensive apps.
• Comfortable working in Linux environments.
• Good software-development fundamentals.
• Meticulous data accuracy mindset.
• Strong analytical and troubleshooting skills.

Responsibilities

• Build and maintain Python and Java ETL pipelines.
• Move trade, position and reference data into reporting datasets.
• Develop automated reconciliation and data-quality controls.
• Investigate reporting breaks and data discrepancies.
• Build validation, exception-management and monitoring processes.
• Develop SQL queries and data-transformations.
• Support regulatory-reporting and vendor integrations.
• Automate data preparation and submission workflows.
• Test outputs for accuracy, completeness and timeliness.
• Collaborate with technology, finance, operations and regulatory stakeholders.

Skills

Java

Python

SQL

Data pipelines

ETL

Linux

Software fundamentals

Data accuracy

Analytical troubleshooting

Kafka

AWS

Tools

Kafka

AWS

Job description

Software Engineer – Finance & Regulatory Reporting

We are recruiting a Software Engineer to build the data pipelines and applications supporting finance and regulatory reporting for a new financial-markets platform.

This is a software engineering position with a reporting and data focus - not a traditional finance or regulatory-reporting operations role.

You will be writing code, building ETL pipelines, developing automated controls and owning the movement of trade and position data from the core trading platform through to finance and regulatory-reporting outputs.

The work covers two main areas:

• Finance reporting – daily and periodic reporting, reconciliations and financial-control processes
• Regulatory reporting – building and maintaining data flows and submissions to external reporting providers, repositories and regulators

What you'll be doing

• Building and maintaining Python and Java ETL pipelines
• Moving trade, position and reference data from the core platform into reporting datasets
• Developing automated reconciliation and data-quality controls
• Investigating reporting breaks and data discrepancies
• Building validation, exception-management and monitoring processes
• Developing SQL queries and data-transformation processes
• Supporting regulatory-reporting and vendor integrations
• Automating data preparation and submission workflows
• Testing reporting outputs for accuracy, completeness and timeliness
• Working with technology, finance, operations and regulatory stakeholders
• Helping improve and replace manual or spreadsheet-heavy processes

Although reporting is the primary focus, you will be part of the wider engineering team and will have opportunities to contribute to trading, lifecycle and core-platform development as the system grows.

Technology

What we're looking for

• Solid working knowledge of Java and/or Python
• Strong SQL and relational-database skills
• Experience working with data pipelines, ETL or data-intensive applications
• Comfortable working in Linux environments
• Good software-development fundamentals
• A careful and methodical approach to data accuracy
• Strong analytical and troubleshooting skills

Any exposure to the following would be advantageous:

• Financial or regulatory reporting
• Finance systems
• Transaction reporting
• Data-quality or control frameworks
• Workflow orchestration
• APIs and third-party integrations
• AWS or another major cloud platform
• Kafka or event-driven architectures

Previous financial-services experience is useful, but the emphasis is on finding a strong software engineer who enjoys working with data, reporting and complex workflows.

The role offers significant scope to develop across software engineering, data engineering and financial markets, with opportunities to move into broader platform development as your experience grows.