About the Client
Our client is an international, growing payment processing company managing large volumes of transactions across multiple systems. With a mission to streamline and centralise operations, they’re now developing a unified data infrastructure that connects analytical tools and operational platforms into one reliable source of truth.

Role Overview
As a Data Engineer, you’ll take ownership of designing and implementing a centralised platform to consolidate internal systems and enable high-scale analytics and automation. This is a hands-on engineering role requiring strong database and backend development expertise.

Key Responsibilities

• Design and develop a centralised internal data platform (data warehouse/lake).
• Integrate various internal systems (Salesforce, Jira, Monday, etc.) into a unified PostgreSQL setup.
• Maintain and improve custom backend services and ingestion tools built in C++ and .NET.
• Build and optimise scalable data pipelines for syncing, transforming, and storing operational data.
• Ensure system integrity, performance, and high availability across platforms.
• Collaborate with BI and product teams to design models aligned with business needs.
• Implement monitoring, version control, and documentation across internal APIs and data flows.

Requirements

• Strong experience in PostgreSQL: schema design, performance tuning, and data modelling.
• Solid backend development skills with C++, .NET, or similar languages.
• Experience building integrations and pipelines between disparate internal systems.
• Understanding of transactional systems and high-load architectures.
• Ability to drive infrastructure projects independently over the long term.

Key Soft Skills

• Self-motivated and autonomous.
• Strong problem-solving and debugging skills.
• Clear communicator, able to collaborate across teams.

What We Offer

• Ownership of high-impact, foundational infrastructure projects.
• Flexible and remote-friendly work environment.
• Opportunity to shape the future of data architecture in a high-growth company.
• Collaboration with experienced engineering and BI teams.
• Fast-paced, result-driven team culture with minimal bureaucracy.