Data & ML Platform Lead
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 17, 2026.
Join Curve, a pioneering fintech company, as a Data & ML Platform Lead. In this hands-on platform engineering role, you will lead a multidisciplinary team and be closely involved in complex architectural challenges. You will own the design and reliability of various data services and ensure the platform operates to bank-grade standards. Enjoy a generous holiday allowance, flexible working arrangements, family leave, health insurance, colleague offers, financial products, share plans, and a pension plan.
Missions
- Lead the team responsible for building and operating the infrastructure at the core of Curve’s business, including streaming and batch data ingestion, reverse-ETL, and real-time decisioning.
- Own the design and reliability of Kafka-based decisioning services, data pipelines, orchestration, feature stores, and underlying cloud infrastructure, ensuring the platform operates to bank-grade standards.
- Provide technical leadership to engineers, set technical direction, delegate effectively, and develop engineers into owners of the systems they operate.
Profil recherché
- If you think all banks are the same, you’re wrong. We’re a pioneering, fast-changing business that’s shaping finance as a force for good. If you’re after a role where you can have an impact and do the best work of your career, you’ve just found it- Experience with Terraform, Kubernetes and infrastructure as code
- Experience building and operating real-time services as well as batch and streaming data pipelines
- Experience designing safe deployment approaches including feature flags, shadow modes, staged rollouts and reversible releases
- Strong experience operating orchestration platforms such as Airflow reliably in production
- Deep production experience with streaming technologies, ideally Kafka, and event-driven architectures operating at scale
- A track record of automating manual operational processes and building systems that are scalable, reliable and maintainable
- Significant experience in data engineering, platform engineering or similar roles, including experience leading or providing sustained technical leadership to engineers
- Strong leadership skills with the ability to set technical direction, delegate effectively and develop engineers into owners of the systems they operate
- Experience designing reliable, observable platforms with clear SLAs, monitoring, alerting, load testing and capacity planning
- Strong programming ability in Python and experience with at least one systems language, ideally Go
- Strong understanding of operating technology within regulated environments, including audit trails, control evidencing, change governance and production systems with compliance implications
- Experience deploying and operating ML systems in production, including feature stores, model serving or ML-driven decisioning systems
- Proven experience designing and operating production systems on GCP, including technologies such as BigQuery, Managed Airflow, Cloud Run and Dataflow, or equivalent cloud infrastructure
- Hands-on experience with Feast
- Experience building or operating LLM and agentic AI workflows in production
- Experience within financial crime, fraud, credit or risk decisioning environments
- Experience integrating technology platforms with large banking organisations or banking vendor ecosystems
- Experience with Snowplow
- Experience supporting dbt from a platform or enablement perspective
- Experience with load-testing frameworks for data-intensive systems
- Experience within fintech, financial services, payments or retail banking
- Experience building real-time decisioning systems with regulatory or financial consequences
- Experience supporting high-volume transaction platforms as they scale