Lead Data Platform Engineer (AWS/Spark)

Location: Nottingham, England; hybrid with 40% office attendance

Company

hirify.global is a global data and technology company operating across financial services, healthcare, automotive, agribusiness, insurance, and other markets, with 25,200 employees in 32 countries.

What you will do

• Lead and support an agile technical team delivering data platform solutions for fraud-related data assets.
• Guide AWS-based data pipelines, data lake components, and producer-side data platform capabilities.
• Own the handover, maintenance, enhancement, and support of pipelines and cloud components developed by the central Data Analytics Platform team.
• Build, test, and maintain high-quality pipelines from Snowflake and internal product and data platforms, including accurate metadata publication to the data catalogue.
• Champion DevSecOps, CI/CD, Infrastructure as Code, automation, and cloud-native tooling to improve reliability, security, and delivery efficiency.
• Mentor senior and junior engineers and contribute to technical roadmaps, collaboration, innovation, and learning.

Requirements

• Strong experience building data pipelines, data lake solutions, or data platform capabilities.
• Strong AWS data engineering and platform delivery experience, including services such as Glue, S3, Step Functions, IAM, Lake Formation, EC2, Lambda, EventBridge, and SQS.
• Strong experience with DevOps and Infrastructure as Code tooling, including Terraform, CI/CD pipelines, Git, and Jenkins.
• Strong experience developing with Apache Spark or Hadoop.
• Significant programming experience in Scala or Python.
• Experience with Configuration as Code principles and API integration.
• Strong understanding of cloud security, data privacy, access control, and governance in data platform environments.

Nice to have

• AWS Developer Certification or another relevant AWS certification.
• Strong Terraform or CloudFormation expertise.
• Experience with OpenShift or Kubernetes.
• Experience with automated testing tools such as pytest or Scalatest.
• Familiarity with SonarQube, Veracode, RESTful APIs, microservice architectures, sensitive or regulated data environments, data catalogues, metadata management, data marketplaces, or federated data mesh concepts.

Culture & Benefits

• Permanent, full-time employment in a hybrid Nottingham-based role.
• Compensation package with a discretionary bonus plan.
• 25 days of annual leave, 8 bank holidays, 3 volunteering days, and the option to purchase additional leave.
• Pension, Bupa healthcare, Sharesave scheme, and other core benefits.
• Inclusive, purpose-driven, people-first culture and equal opportunity employment.