Working model: Hybrid 3 days on site each weekRate: up to £530 per day---ResponsibilitiesDesign, implement, and maintain high-throughput data pipelines using Apache Spark and cloud-native toolsDevelop ETL/ELT workflows for managing structured and unstructured data in AWS cloud environmentsCollaborate with AI/ML teams to enable data platforms for Generative AI and advanced analytics use casesEnsure compliance with data quality, governance, and monitoring best practices across all integrationsEnable data lakehouse architectures that support scalability, resilience, and flexible analyticsWrite optimized SQL queries and scalable code in Java or Scala, ensuring performance efficiency in large datasetsApply security principles and operational guidelines to deliver secure, highly available solutionsPartner with cross-functional engineering teams to improve automation, data observability, and platform reliabilityTroubleshoot complex data processing issues within distributed systems and production environmentsContribute to continuous improvement strategies for AI-ready data pipelines and analytics enablement---Requirements (Must Have Skills):5+ years of data engineering experience building high-performing and large-scale data solutionsHands‑on expertise in Apache Spark development using Java or Scala (Python experience considered)Strong proficiency in AWS cloud services (S3, EMR, Glue, IAM, etc.) and cloud‑native architecture principlesAdvanced SQL development skills for performance‑critical data transformationsPractical knowledge of ETL/ELT pipelines, data modeling, and lakehouse design in an enterprise environmentFamiliarity with Generative AI or AI/ML workflows and experience enabling AI‑driven data ecosystemsSolid understanding of data governance, quality, security standards, and operational resiliency---Nice to Have Skills:Hands‑on experience with Databricks and/or Snowflake, ideally within modern cloud data platformsFinancial services domain experience, with exposure to data compliance frameworksFamiliarity with observability tools, automation practices, and modern DevOps principles in data workflowsAbout Korn FerryKorn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at
Data Engineer | Hybrid Birmingham in West Bromwich employer: Korn Ferry Group
Join a forward-thinking organisation in London as the Interim Head of Enterprise Architecture, where you will play a pivotal role in shaping the future of technology and business strategy. With a strong emphasis on employee growth, collaboration, and innovation, this company fosters a dynamic work culture that values strategic leadership and technical expertise. Enjoy the unique advantage of a hybrid working model, allowing for flexibility while engaging directly with senior stakeholders to drive meaningful transformation.
