This is a 6 – month contract with our client in the Fintech industry
We are looking for a strategic and hands-on Manager: AI Data Engineer to lead the design, construction, and operation of data pipelines and data products purpose-built for AI and advanced analytics.
Key Responsibilities
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AI Data Architecture: Design and implement scalable batch and streaming data pipelines to support model training, feature generation, and real-time inference.
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Feature Stores & Data Products:Build, standardise, and operate feature stores to ensure consistency between training and inference across the group.
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Data Governance & Observability:Enforce end-to-end data lineage, traceability, and automated quality checks. Build pipeline observability to proactively detect data drift and anomalies.
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Cross-Functional Collaboration: Partner closely with MLOps, AI Platform Engineering, Security, and Risk teams to deliver compliant, production-ready, and high-quality data assets.
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Compliance & Privacy: Ensure all AI datasets comply with local market regulations, data sovereignty, and security standards (privacy-by-design).
Requirements
Education:
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Master of Science (MSc) in Computer Science, Big Data, Information Systems, Engineering, or an AI/Data-related field.
Experience & Skills:
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5+ years of hands-on data engineering experience, specifically building large-scale batch/streaming pipelines and feature engineering pipelines.
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Proven experience with Cloud Data Platforms (Azure is a strict requirement).
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Deep understanding of both structured and unstructured data processing.
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Strong knowledge of feature store concepts, data pipeline orchestration, and pipeline observability.
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Advantageous: Experience within Fintech, Financial Services, Telco, or heavily regulated, large-scale environments.
