Job Description Data Protection / Data Governance EngineerLONDON1 DAY ONSITE OUTSIDE IR35Β£560 TO Β£640 PER DAY ASAP START This is an opportunity to build a data governance capability from the ground up within a growing organisation in the online gaming and gambling sector. They have recently completed a full audit of their data estate and are now investing in enterprise-wide governance, security, retention, and privacy controls. This contract will suit someone who enjoys delivering hands-on transformation projects and leaving behind a sustainable operating model. The CompanyThey are a digital-first organisation operating within a highly regulated industry, supported by a large-scale data environment across cloud platforms, databases, and SaaS applications. Data governance has become a strategic priority, with strong support from senior leadership and the board. They are looking to establish robust governance processes that protect customer data while enabling continued innovation and growth. Design and implement a least-privilege access model across GCP and key SaaS platforms, including IAM, RBAC, service accounts, and access management workflows. Build and document governance controls using Terraform and infrastructure-as-code principles. Create a comprehensive data inventory and classification framework, mapping datasets to agreed retention and governance policies. Restructure BigQuery environments to support enforceable retention through partitioning, clustering, security controls, and automated expiration policies. Establish a practical DPIA process, including templates, workflows, and completed assessments for high-risk data flows. Deliver detailed runbooks, operating procedures, governance documentation, and a full handover package to ensure the internal team can continue operating the capability. Strong hands-on experience with GCP, including organisation policies, IAM conditions, resource hierarchy, and service account management. Expertise in BigQuery security, retention management, DLP, column and row-level security, and data classification. Experience governing personal data across SaaS platforms such as GA4, Meta, Salesforce, Braze, Zendesk, Iterable, Xtremepush, or similar. Demonstrated success delivering greenfield or large-scale governance transformation projects rather than BAU operations.
Data Engineer (Data Governance / Data Quality) in London employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team