This is a 12-month contract with our client in the banking sector. We are looking for a detail-oriented Data Engineer to join our client's team in driving the bank toward a data-driven future. You will play a pivotal role in maintaining robust data pipelines, enhancing our cloud infrastructure, and providing the clean, reliable data necessary for advanced analytics, machine learning, and AI initiatives. Core Responsibilities Pipeline Management: Build and maintain end-to-end data pipelines, including Data Virtualization, Ingestion, Provisioning, Streaming, and APIs. Operational Excellence: Perform daily monitoring of data warehouses and cloud services (Compute/Storage) to ensure all jobs run successfully and meet SLA timelines. Infrastructure Support: Secure and maintain the data infrastructure to ensure high availability and reliability for stakeholders. Data Quality & Analysis: Execute data profiling, cleaning, validation, and documentation in collaboration with Data Analysts to deliver "fit-for-purpose" data products. Business Enablement: Create virtual databases and data extracts to support business needs; optimize and improve business queries through active stakeholder collaboration. Technical Support: Act as first-line support for pipeline issues, resolving blockers to ensure continuous data availability. Minimum Requirements Education: A Bachelor's Degree in Information Technology, Computer Science, Data Science, or a related field. Technical Skills: Proven experience in building and monitoring Data Pipelines (Ingestion and Provisioning). Familiarity with Cloud Infrastructure management and monitoring. Proficiency in Big Data solutions, API integration, and data streaming. Strong knowledge of SQL, data profiling, and data virtualization tools. Soft Skills: Collaborative mindset with the ability to translate complex business needs into technical data solutions. Advantageous: Experience in a banking or highly regulated environment; knowledge of AI/ML data preparation. #J-18808-Ljbffr