Software Engineer, Investment Data Integrations (Remote)

Cph Ai Hub; København; Hybrid; DKK 600,000 - 900,000; Full time

Job summary

Performativ is building a modern platform for investment data integrations, connecting with custodians and financial institutions to deliver reliable data across positions, transactions, cash, instruments, and corporate actions. You will develop reusable data pipelines and tools, investigate production issues, and collaborate with cross-functional teams to ensure data quality and reliability.

The role emphasizes production systems, data correctness, and scalable automation, with opportunities to

Qualifications

• Degree in computer science or equivalent with strong fundamentals.
• Experience building data integrations with multiple sources (files, APIs, queues).
• Proven ability to design reliable data pipelines and production-grade services.

Responsibilities

• Develop and operate integrations for positions, transactions, cash, instruments, and corporate actions across diverse interfaces.
• Build reusable ingestion, transformation, validation, reconciliation, and monitoring components.
• Investigate production issues across internal and external systems and implement permanent fixes.
• Collaborate with users, operations, and engineers to ensure data is correct and useful across the platform.
• Lead AI-assisted development and establish tests and controls for safe deployment.

Skills

Backend engineering

Data integration

Distributed systems

Education

Bachelor's degree in CS or equivalent

Tools

Python

Golang

PHP

TypeScript

MySQL

Redis

AWS

CI/CD tooling

Job description

Performativ is building a modern platform for investment data integrations, connecting with custodians and financial institutions to deliver reliable data across positions, transactions, cash, instruments, and corporate actions. You will develop reusable data pipelines and tools, investigate production issues, and collaborate with cross-functional teams to ensure data quality and reliability.

The role emphasizes production systems, data correctness, and scalable automation, with opportunities to