Overview
Lead engineering delivery and productionisation of the Data Intelligence Platform for FDSS and related data capabilities.
What you'll do
- Own data engineering and platform delivery direction across FDSS data use cases.
- Convert prototype pipelines, models, and demonstrations into repeatable production services.
- Coordinate data engineering, platform, analytics, ML, security, governance, and operations on a single delivery roadmap.
- Lead design and delivery of ingestion, event streaming, transformation, lakehouse, serving, and analytical data products.
- Define and implement controls for data quality, lineage, metadata, catalogue, master/reference data, and reconciliation.
- Embed CI/CD, Infrastructure as Code, automated testing, observability, FinOps, and secure configuration into the platform lifecycle.
- Lead production readiness for resilience, scalability, backup/recovery, monitoring, support, data protection, and service management.
What you'll need
- Data engineering delivery leadership for a production cloud data platform.
- Experience taking prototypes/notebooks/analytical use cases through production engineering and operational acceptance.
- Experience designing scalable ingestion, transformation, and serving patterns.
- Experience implementing data quality, governance, security, and platform observability.
- Experience coordinating stakeholders across product, analytics, engineering, infrastructure, security, and operations.
- Data engineering capabilities including SQL, Python, and distributed data processing.
- Reliability engineering and FinOps and service transition experience.
Details
- Work mode: Remote.
- Location: United Kingdom.
Read the full description and apply on the company’s own careers page.
