Data Governance Engineer

The RoleBottomline is looking for a Data Governance Engineer to grow with us in a Hybrid work environment out of our Theale, Reading UK officeCandidates 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.What You Will Do 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.How you’ll contribute:Design and implement data governance frameworks including data cataloging, metadata management, lineage tracking, and quality monitoringBuild and maintain security controls across our AWS and Snowflake environment, including role-based access controls, data masking, encryption, and network securityImplement privacy-preserving techniques and ensure compliance with global regulations such as GDPR, CCPA, industry specific and customer specific requirementsIn collaboration with our business experts, develop and enforce data classification schemes and access policies that balance security with usabilityCreate technical solutions for data quality monitoring, validation, and remediationBuild analytics infrastructure and optimize cost and query performance to support business intelligence and AI workloadsImplement audit logging and monitoring systems to track data access and usageCollaborate with data stewards, data owners, data engineers and analysts to ensure governance controls don't impede legitimate data useDevelop automation for governance processes including access provisioning, compliance reporting, and policy enforcementSupport AI governance by implementing controls for model data access, feature stores, and responsible AI practicesDocument technical architectures, security protocols, and governance proceduresStay current with evolving data privacy regulations and security best practicesWhat will make you successful: 4+ years of experience in data engineering, security engineering, or data governance rolesStrong hands-on experience with cloud data platforms (AWS, Snowflake, or similar)Deep understanding of data governance principles including metadata management, lineage, and data qualitySolid knowledge of data security practices including encryption, access controls, network security, and authenticationExperience with data privacy regulations (GDPR, CCPA, HIPAA, etc.) and technical implementation of compliance requirementsProficiency in SQL and at least one programming language (e.g. Python, Java)Understanding of analytics architectures and performance optimization techniquesAbility to translate business and compliance requirements into technical solutionsStrong problem-solving skills and attention to detailExcellent documentation and communication skills for technical and non-technical audiencesSnowflake or Databricks (security features, governance capabilities, performance tuning)AWS servicesSQL (advanced queries, optimization)Python or similar scripting languageGit and version controlData modeling and database designNice to HaveCertifications in cloud security (AWS Security Specialty, etc.) or privacy (CIPT, CIPP)Experience with data governance toolsKnowledge of AI/ML governance and responsible AI practicesExperience with data masking, tokenization, and differential privacy techniquesFamiliarity with data Lakehouse architectures and modern data stack toolsBackground in analytics engineering or business intelligenceExperience with compliance frameworks (SOC 2, ISO 27001, etc.)What We Offer: Competitive salary and benefits package.Opportunities for professional growth and advancement.A collaborative and innovative work environment.Flexible working arrangements.#LifeAtBottomline