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.