Ready to build enterprise-scale data platforms powering AI and next-generation analytics? Data platforms come together to drive impactful business solutions. We are seeking a highly skilled Senior Data Engineer to design, build, and optimise scalable cloud‑native data platforms supporting analytics, AI, and enterprise reporting solutions. This opportunity offers exposure to modern lakehouse environments, enterprise‑scale data engineering, and AI‑enabled platforms within a collaborative Agile team. The successful candidate will work closely with engineering, analytics, and product teams to deliver high‑quality data solutions across cloud platforms and enterprise environments. Key Responsibilities Design, build, and maintain scalable ETL/data pipelines Develop enterprise data solutions using Databricks and Apache Spark Support analytics, AI, and reporting workloads Ensure data quality, governance, and operational stability Collaborate with cross‑functional Agile teams Implement CI/CD and engineering best practices Education Bachelor’s Degree in Computer Science, Information Technology, Engineering, Data Science, or related field Certifications Databricks Certified Data Engineer (Advantageous) Microsoft Azure Data Engineer Associate AWS Certified Data Engineer / AWS Certified Solutions Architect Azure AI Engineer Associate (Advantageous) Databricks Lakehouse Fundamentals Apache Spark Certifications (Advantageous) Experience Experience working with AI/GenAI data platforms and modern lakehouse environments 5+ years’ experience as a Senior / Lead Data Engineer Hands‑on experience with Databricks and cloud‑native data platforms Experience building production‑grade ETL/data pipelines Experience working within enterprise or regulated environments Exposure to AI, ML, or Generative AI environments advantageous Experience working within Agile delivery teams Skills Databricks Python SQL Apache Spark / PySpark AWS or Azure ETL / ELT pipelines Data Lake / Lakehouse architectures CI/CD practices Data governance and data quality management #J-18808-Ljbffr