Senior Backend Engineer (Data Serving)
New
P
PleoFintech, payments
Location: United Kingdom; Secondary Locations: Denmark, Portugal, Spain. Remote, hybrid or in-person set-up in any of the locations listed on the advert.Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSPostgreSQLSQLGCPJVMKafkaKotlinKubernetes
Requirements
- Have strong backend engineering experience building and owning reporting and analytics API services and serving-layer infrastructure.
- Have experience designing API boundary layers, including endpoint design, versioning, and contract stability.
- Have strong expertise designing performant read-heavy systems, including relational database optimisation, indexing, materialised views, caching, and API performance tuning.
- Have solid SQL and non-SQL database fundamentals, strong SQL querying skills, and deep Kafka expertise.
- Have deep experience with a JVM-based language.
- Have experience with AWS or GCP and Kubernetes.
- Be familiar with configuring, deploying, and operating containerised applications in a Kubernetes environment.
- Have experience at the boundary between data systems and product backend services.
- Be able to work quickly and independently in a hands-on delivery role.
- Have experience in fintech, payments, or other regulated product environments.
Responsibilities
- Build and own clean, versioned, performant Data API endpoints for internal dashboards, customer-facing features, and third-party tools.
- Design and optimise Postgres read models, indexes, and caching strategies for low-latency query performance.
- Integrate the serving layer with Pleo’s Kotlin-based product backend services.
- Monitor services, respond to incidents, and define appropriate SLOs for customer-facing infrastructure.
- Partner with Data Engineers to define contracts between ingestion and aggregation layers and the serving database.
- Work with the Authorization team to secure APIs using authentication and authorization protocols.
- Build a near-real-time service that aggregates data across Pleo services.
- Design metadata, lineage, and governance capabilities for an explainable and auditable serving layer.
- Own access control and permission management, including row- and column-level data access and audit trails.
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