Curve Tech Stack

Money app consolidating multiple financial services into a unified platform

Financial Services London, England 201–500 employees Founded 2015 Privately Held

Curve operates a GCP-native fintech stack (BigQuery, Dataflow, Kafka via Confluent, dbt) paired with heavy mobile development (Kotlin, Swift, SwiftUI). The tech shape suggests a data-intensive, real-time platform: they're building reverse-ETL pipelines and multi-source data consolidation while managing low-latency transaction monitoring—core to their Operating System for Money thesis. Hiring has decelerated (3 roles in 30 days across a 201–500 headcount), concentrated in engineering and senior/lead levels, indicating focused product work rather than growth scaling.

Tech Stack 29 technologies

Core StackBigQuery Confluent Kafka Snowplow dbt Kotlin Go RabbitMQ Python PostgreSQL MongoDB Swift Docker Kubernetes AWS Terraform SwiftUI PHP Kustomer Google Chat GCP Composer Dataproc Dataflow Google Cloud Pub/Sub Kinesis Android UIKit Swift Concurrency

What Curve Is Building

◆Challenges

Reducing complaint resolution time
Managing gdpr requests
Ensuring agent readiness for launches
Managing multi-channel workflows
Optimizing workforce capacity planning
Reducing data latency
Data integration challenges
Compliance with regulatory requirements
Timely client onboarding
Monitoring for unusual transactions

▲Active Projects

Connected platform integration
Spend analytics insights
Financial product marketplace
Key product launches
Cx support content and training materials
Training programme
Robust multi-source data platform
Reverse-etl implementation
Dbt data modeling on bigquery
Technical architecture across a group

Hiring Activity

Decelerating15 roles · 3 in 30d

Department

Engineering

Legal

Support

Data

Seniority

Senior

Mid

Lead

Staff

Notable leadership hires: Tech Lead

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About Curve

Curve is a fintech startup founded in 2015, headquartered in London, building a unified money app that aggregates spending, transfers, savings, and financial product discovery across multiple sources. The product operates on a connected-platform integration model, surfacing spend analytics and enabling customers to route transactions across linked accounts. Internally, the company runs a modern data platform on GCP (BigQuery, Dataflow, Kafka) with dbt modeling, supports multi-channel customer support workflows, and operates in regulated markets (UK, Lithuania), facing typical compliance pressures around GDPR, transaction monitoring, and complaint resolution.

HeadquartersLondon, England

Company Size201–500 employees

Founded2015

Hiring MarketsUnited Kingdom, Lithuania

Frequently Asked Questions

What tech stack does Curve use?

GCP-native: BigQuery, Dataflow, Composer, Dataproc; streaming via Confluent Kafka, Pub/Sub, Kinesis; mobile (Kotlin, Swift, SwiftUI); backend (Python, Go, PostgreSQL, MongoDB); infrastructure (Docker, Kubernetes, Terraform, AWS).