Senior Data Engineer – AI & Cyber Intelligence (Fractional | Remote) at Rosie's People

About the OpportunityOur client is an emerging technology company developing advanced AI-driven cyber-intelligence and risk-analysis platforms for highly regulated industries. As the platform evolves, they are seeking a Senior Data Engineer (Fractional) to support the development of a scalable, secure data infrastructure that underpins real-time analytics, AI models, and risk intelligence capabilities.This opportunity is suited to experienced data engineers who are comfortable contributing within early-stage environments, where building foundational systems and working with high levels of autonomy are essential.About the RoleThis role is structured as a fractional technical engagement (approximately 8 hours per week).You will play a key role in designing and building the data backbone supporting AI-driven cybersecurity and compliance systems, working alongside engineering and AI teams to enable scalable, production-ready data pipelines.The focus is on creating robust, secure, and AI-ready data infrastructure capable of supporting advanced analytics and machine learning applications.Key ResponsibilitiesData Engineering & ArchitectureDesign and build scalable data pipelines across cloud environments (AWS/Azure)Develop and optimise data lakes, warehouses, and data modelsImplement ETL/ELT workflows, ensuring reliability and scalabilityMaintain data quality, lineage, and observability across pipelinesAI & Analytics EnablementCollaborate with AI/ML teams to provide high-quality datasetsSupport LLM and advanced analytics use cases through efficient data processingEnable analytics and reporting through well-structured datasetsSecurity, Compliance & GovernanceImplement secure, privacy-first data architectureAlign data systems with frameworks such as NIST, ISO 27001, SOC 2, and DORAEstablish governance, access control, and auditability standardsOperational DeliveryMonitor and optimise pipeline performance and costContribute to DevOps/MLOps practices for data workflowsEvaluate and integrate tools to improve the data platformWho This Opportunity Is ForYou are likely to be a strong fit if you:Have 5+ years of experience in data engineering or related rolesHave built production-grade data pipelines in cloud environmentsAre highly proficient in Python and SQLHave experience with tools such as Airflow, dbt, Kafka, Spark, or DatabricksHave worked in cybersecurity, fintech, or regulated environments (preferred)Understand how data supports AI/ML workflows and advanced analyticsAre comfortable working independently in a lean, fast-moving environmentEngagement StructureThis opportunity is structured as a fractional engagement (approximately 8 hours per week), offering flexibility and the opportunity to contribute to the development of a growing AI-driven cybersecurity platform.The role is designed for professionals interested in contributing to an evolving technology environment, with scope to expand involvement as the platform progresses through future growth stages.This opportunity is best suited to professionals who are comfortable participating in early-stage ventures where engagement structures evolve alongside company growth.Further details will be discussed with the shortlisted candidates.On OfferOpportunity to build the data foundation for an advanced AI-driven platformFlexible, remote working structureStrategic technical influence within a growing technology environmentCollaboration with experienced professionals across AI, cybersecurity, and financial services

Senior Data Engineer – AI & Cyber Intelligence (Fractional | Remote)

Emma

Requirements and responsibilities

Skills wanted:

Language(s) required:

About Rosie's People:

www.rosiespeople.com/

Admin access needed

Payment confirmed

A member of the Torre team will contact you shortly