Data Governance Engineer

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Bottomline is looking for a Data Governance Engineer to grow with us in a Hybrid work environment out of our Theale, Reading UK office!

Candidates for this position must be authorized to work in the United Kingdom on a full‑time basis for any employer without restriction. Visa sponsorship will not be provided for this position.

We’re seeking a Data Governance Engineer to be the technical backbone of our data and AI operations, ensuring our data Lakehouse environment is secure, compliant, and architected for both governance and high‑performance analytics. This role bridges deep technical expertise with practical understanding of data governance, data modelling, database design, security, and privacy requirements, enabling our organization to leverage data and AI responsibly and effectively.

You will design and implement the technical frameworks that keep our data secure, compliant, and accessible to authorized users. Working within our AWS and Snowflake infrastructure you will build and maintain data governance systems, security controls, and privacy‑preserving mechanisms that protect sensitive information while enabling analytics and AI capabilities. You will translate regulatory requirements and governance policies into technical implementations, ensuring our data Lakehouse meets both business needs and compliance standards.

You will architect solutions for data classification, access control, lineage tracking, and audit logging. You will work closely with our Data Product Manager, data stewards, data owners and business partners to ensure governance and security considerations are built into data products from the ground up, not bolted on afterward. When new AI use cases emerge, you will assess the technical requirements for responsible implementation, from data privacy to model governance to secure deployment.

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• Design and implement data governance frameworks including data cataloging, metadata management, lineage tracking, and quality monitoring
  
• Build and maintain security controls across our AWS and Snowflake environment, including role‑based access controls, data masking, encryption, and network security
  
• Implement privacy‑preserving techniques and ensure compliance with global regulations such as GDPR, CCPA, industry specific and customer specific requirements
  
• In collaboration with our business experts, develop and enforce data classification schemes and access policies that balance security with usability
  
• Create technical solutions for data quality monitoring, validation, and remediation
  
• Build analytics infrastructure and optimize cost and query performance to support business intelligence and AI workloads
  
• Implement audit logging and monitoring systems to track data access and usage
  
• Collaborate with data stewards, data owners, data engineers and analysts to ensure governance controls don’t impede legitimate data use
  
• Develop automation for governance processes including access provisioning, compliance reporting, and policy enforcement
  
• Support AI governance by implementing controls for model data access, feature stores, and responsible AI practices
  
• Document technical architectures, security protocols, and governance procedures
  
• Stay current with evolving data privacy regulations and security best practices
  

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• 4+ years of experience in data engineering, security engineering, or data governance roles
  
• Strong hands‑on experience with cloud data platforms (AWS, Snowflake, or similar)
  
• Deep understanding of data governance principles including metadata management, lineage, and data quality
  
• Solid knowledge of data security practices including encryption, access controls, network security, and authentication
  
• Experience with data privacy regulations (GDPR, CCPA, HIPAA, etc.) and technical implementation of compliance requirements
  
• Proficiency in SQL and at least one programming language (e.g. Python, Java)
  
• Understanding of analytics architectures and performance optimization techniques
  
• Ability to translate business and compliance requirements into technical solutions
  
• Strong problem‑solving skills and attention to detail
  
• Excellent documentation and communication skills for technical and non‑technical audiences
  
• Snowflake or Databricks (security features, governance capabilities, performance tuning)
  
• AWS services
  
• Python or similar scripting language
  
• Git and version control
  
• Data modeling and database design
  

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• Certifications in cloud security (AWS Security Specialty, etc.) or privacy (CIPT, CIPP)
  
• Experience with data governance tools
  
• Knowledge of AI/ML governance and responsible AI practices
  
• Experience with data masking, tokenization, and differential privacy techniques
  
• Familiarity with data Lakehouse architectures and modern data stack tools
  
• Background in analytics engineering or business intelligence
  
• Experience with compliance frameworks (SOC 2, ISO 27001, etc.)
  

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• Competitive salary and benefits package.
  
• Opportunities for professional growth and advancement.
  
• A collaborative and innovative work environment.
  
• Flexible working arrangements.