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# Data Engineer

- **Company:** Korn Ferry
- **Location:** Birmingham, UK
- **Experience:** Expert
- **Salary:** £123,500.0
- **Contract:** Temporary contract
- **Skills:** Training Data, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Cloud Engineering, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Dataspaces, Distributed Systems, Identity and Access Management, Python (Programming Language), Cloud Services, DataOps, SQL Databases, Unstructured Data, Data Processing, System Availability, Snowflake, Grafana, Apache Spark, Generative AI, Data Management, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 12, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-99E71A648D5DC87693/

## About the Role

* 5+ years of data engineering experience building high-performing and large-scale data solutions
 * Hands-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 principles
 * Advanced SQL development skills for performance-critical data transformations
 * Practical knowledge of ETL/ELT pipelines, data modelling, and lakehouse design in an enterprise environment
 * Familiarity with Generative AI or AI/ML workflows and experience enabling AI-driven data ecosystems
 * Solid understanding of data governance, quality, security standards, and operational resiliency

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Nice to Have Skills:

 * Hands-on experience with Databricks and/or Snowflake, ideally within modern cloud data platforms
 * Financial services domain experience, with exposure to data compliance frameworks
 * Familiarity with observability tools, automation practices, and modern DevOps principles in data workflows

## Description

* Design, implement, and maintain high-throughput data pipelines using Apache Spark and cloud-native tools
 * Develop ETL/ELT workflows for managing structured and unstructured data in AWS cloud environments
 * Collaborate with AI/ML teams to enable data platforms for Generative AI and advanced analytics use cases
 * Ensure compliance with data quality, governance, and monitoring best practices across all integrations
 * Enable data lakehouse architectures that support scalability, resilience, and flexible analytics
 * Write optimized SQL queries and scalable code in Java or Scala, ensuring performance efficiency in large datasets
 * Apply security principles and operational guidelines to deliver secure, highly available solutions
 * Partner with cross-functional engineering teams to improve automation, data observability, and platform reliability
 * Troubleshoot complex data processing issues within distributed systems and production environments
 * Contribute to continuous improvement strategies for AI-ready data pipelines and analytics enablement