Top Tech Jobs & Startup Jobs

Design, build and maintain DBT models, transformation pipelines and analytics workflows. Create BI dashboards, implement data quality checks, optimise data models, support platform migrations, and collaborate with stakeholders to deliver reliable, scalable analytics solutions.

Provide first-line governance for AI systems across lifecycle: assess and test models (including generative and agentic systems), produce technical risk reports and metrics, advise on 'License to Operate' decisions, consult on high-risk system design, and partner with Data Science, ML Engineering, Risk & Compliance to evolve governance standards.

Design, operate, and optimise highly available database and storage systems to improve reliability, performance, scalability and observability. Lead platform improvements, automate operations, support data pipelines, participate in incident response and root cause analysis, and collaborate with engineering and data teams to evolve platform capabilities.

Lead end-to-end delivery of Enterprise Services change programmes focused on Oracle HCM Cloud and connected HR SaaS. Own planning, governance, RAID, budgets, stakeholder reporting and benefits realisation. Coordinate internal teams and external implementation partners, manage integrations, align release windows, ensure regulatory controls (UK GDPR, payroll), and drive continuous improvement across HRIS, Microsoft 365, and infrastructure services.

Manage employee relations cases end-to-end, advise and coach managers on ER policies and employment law, support organisational change and consultation, prepare documentation, escalate high-risk matters, analyse ER trends, deliver manager training, and contribute to continuous improvement of ER processes.

Partner with cross-functional product teams to analyse large behavioural datasets, define product metrics, design and evaluate A/B tests, build measurement frameworks, and deliver insights via visualisations to influence product roadmaps and drive commercial outcomes.

Lead a data science team building always-on predictive models and pipelines for an AI platform. Own model lifecycle: production deployment, monitoring, drift detection, retraining, and measurable business outcomes. Provide technical leadership, code reviews, architecture decisions, and stakeholder collaboration. Hire and mentor data scientists, champion responsible and auditable AI, and adopt ML platform tooling (MLflow, model registries, Databricks) and LLM/RAG approaches where appropriate.

Lead design and delivery of scalable analytics models, transformation pipelines, and BI solutions. Provide technical leadership across teams, improve data quality, observability, and CI/CD practices, reduce technical debt, mentor engineers, and partner with product and platform teams to deliver trusted, production-grade data solutions.

Develop, evolve and amplify the employer brand through content creation, channel management (LinkedIn, Glassdoor, careers site), thought leadership support, event coordination, projects (merchandise/partnerships), and measurement of outcomes against targets within budget.

Lead and optimise paid digital campaigns across social, display, affiliates, and app acquisition channels (Meta, TikTok, Apple, Google). Improve performance via audience targeting, creative testing, bidding and budget optimisation. Analyse metrics (CPI, CPA, ROAS), collaborate with creative, product, analytics and agencies, and scale paid media to drive efficient customer acquisition and app installs.