Senior Data Engineer - Hybrid, Birmingham | Spark & AWS

Korn Ferry Group; Birmingham; Hybrid; GBP 85,000 - 111,000; Full time

Job summary

Korn Ferry in Birmingham is seeking a Data Engineer for a hybrid role, with 3 days on site weekly. You will design and maintain high-throughput data pipelines via Spark and cloud-native AWS tools, enabling AI-ready data platforms for advanced analytics.

You will develop ETL/ELT workflows, optimize SQL in Java/Scala, and collaborate with AI/ML teams to support Generative AI analytics while ensuring data quality, governance, and security across integrations.

Qualifications

• 5+ years data engineering experience in large-scale pipelines.
• Proficiency with Spark in Java/Scala; Python acceptable.
• Strong AWS (S3, EMR, Glue, IAM) skills.
• Advanced SQL for complex transformations.
• ETL/ELT, data modeling and lakehouse design.
• Familiar with Generative AI / AI/ML data workflows.
• Understanding data governance and security.

Responsibilities

• 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.

Skills

Data engineering

Spark with Java/Scala

AWS cloud services

SQL for transformations

ETL/ELT pipelines

Data governance & security

Tools

Databricks

Snowflake

Job description

Korn Ferry in Birmingham is seeking a Data Engineer for a hybrid role, with 3 days on site weekly. You will design and maintain high-throughput data pipelines via Spark and cloud-native AWS tools, enabling AI-ready data platforms for advanced analytics.

You will develop ETL/ELT workflows, optimize SQL in Java/Scala, and collaborate with AI/ML teams to support Generative AI analytics while ensuring data quality, governance, and security across integrations.