This is a Hybrid, Nottingham based role (40% in the office) reporting to the Director of Engineering.
Key responsibilities
Design, build, test and maintain AWS-based data pipelines for fraud-related data assets.
Support ingestion and transformation of data from source platforms such as Snowflake and internal product/data systems.
Develop new data flows, integrations and automation as additional data assets are onboarded.
Work with platform, security and data stakeholders to ensure solutions follow agreed security, governance and compliance patterns.
Contribute to technical design discussions, review proposals, evaluate options, provide estimates and recommend practical solutions.
Use Infrastructure as Code and Configuration as Code tooling, such as Terraform, Git and CI/CD pipelines, to deliver repeatable solutions.
Produce clear documentation covering pipelines, data flows, operational procedures and support processes.
Support junior engineers where appropriate and contribute to a collaborative, quality-focused engineering culture.
Use modern engineering practices, including automation and AI-assisted development where appropriate, to improve delivery speed, quality and repeatability.
Strong experience building data pipelines, data lake solutions or data platform capabilities.
Strong experience with AWS cloud services relevant to data engineering and platform delivery, including services such as AWS 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 on Apache Spark or Hadoop.
Significant programming experience using Scala or Python.
Strong understanding of cloud security, data privacy, access control and governance principles in data platform environments
Desired skills
AWS Developer Certification or other relevant AWS certification.
Strong expertise in Terraform or CloudFormation.
Experience with OpenShift or Kubernetes.
Experience with automated testing tools such as pytest or Scalatest.
Knowledge of RESTful APIs and microservice architectures.
Experience working with sensitive, governed or regulated data environments.
Familiarity with data catalogue, metadata management, data marketplace or federated data mesh concepts.
Great compensation package and discretionary bonus plan
Core benefits include pension, bupa healthcare, sharesave scheme and more
25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
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