Design, implement, and maintain data ingestion pipelines from external sources into centralized data lakes.
Transform, normalize, and process large-scale data for downstream applications and analytics.
Develop and maintain RESTful APIs to provide data access and integration points for internal and external systems.
Collaborate with front-end engineers, business analysts, and product designers to ensure accurate and reliable data flows.
Optimize performance, scalability, and reliability of backend systems and APIs.
Apply software design patterns, code best practices, and automated testing methodologies.
Monitor and troubleshoot data pipelines, APIs, and integrations in production environments.
Stay current with emerging technologies and best practices in data engineering, backend development, and cloud-based solutions.

Expertise in structured and unstructured data ingestion, modelling and transformation.
Experience with MPP database design and integration.
Experience with S3 (specifically MinIO).
Expertise in RESTful API design and integration.
Strong problem-solving and troubleshooting skills.
Excellent verbal and written communication skills.
Bachelor's degree in Computer Science, Software Engineering, or related technical/quantitative field (or equivalent experience).
Preferred / “Nice to Have” experience with large-scale data processing frameworks.
Experience in Data Lakehouse optimization.
Experience in C#, .NET, SQL Server, and multi-tiered backend development.
Knowledge of Docker/Kubernetes, Azure DevOps and application monitoring tools.
Familiarity with financial services applications or private markets.

Senior Engineer – Backend, Data Platform

Key skills