Senior Data engineer at Experian

We are looking for an experienced Senior Data Engineer with expertise in AI‑powered tools, workflow automation, and modern data platform engineering. You will develop data software applications, data platforms, and data products. It partners with application engineers, data engineers, data scientists, and CRM teams to develop scalable solutions. The Engineer will contribute both independently and collaboratively. The Engineer's responsibilities will include defining engineering standards, performing data analysis and modeling, writing high‑quality code, conducting testing and code reviews, preparing deployments, ensuring operational readiness, and supporting Agile development practices. Additionally, the Engineer will keep Security first in mind. You will report to the Development and Operations Manager. • Lead the implementation of AI and LLM‑based tooling to automate data engineering workflows (e.g., code generation, data quality monitoring, schema drift detection). • Build automated frameworks for data ingestion, transformation, orchestration, and deployment using AI‑powered accelerators. • Integrate AI/ML capabilities into pipelines, including anomaly detection, metadata enrichment, and pattern recognition. • Develop automated data validation frameworks and implement AI‑assisted data quality checks. • Take technical ownership of all stages and iterations of assigned software components. • Design technology solutions meet all functional and non‑functional our requirements. • Provide ongoing production support by overseeing critical data pipelines, resolving incidents, ensuring system stability, and driving root‑cause analysis for continuous improvement. • Produce clear documentation of designs, architectural decisions, and code artifacts; participate in knowledge sharing. • Provide regular updates and communications to project partners. • Ensure solution adoption through training, documentation, and readiness planning. • Work across multiple projects and departments, supporting engineering tasks and cross‑functional programs. • Apply industry best practices, engineering standards, and governance principles. • Be a important contributor to deliver high‑value, on‑time, on‑budget complex projects.