4 of 4 Remote/Hybrid Analytics Jobs in South London

environment. You will build reliable, scalable pipelines and help shape engineering standards, working closely with the Lead Data Engineer and partnering with data science, analytics and product teams. Key responsibilities * Build and maintain scalable data pipelines using Databricks, Apache Spark and Delta Lake * Develop and optimise batch and streaming workflows ...

data infrastructure that underpins our products, while guiding a small team of engineers and defining platform standards, data architecture and engineering best practices supporting analytics, machine learning and AI across the business. Key responsibilities * Lead the design, development and optimisation of a Databricks based data platform, ensuring reliability, performance … scalability and cloud cost management * Lead and mentor a small team of data engineers, setting technical standards and reviewing code * Partner with data science, analytics and product teams to ensure the platform supports their work * Own data quality, governance and observability across pipelines * Support AI and ML enablement including feature ...

technology-led business. You will own budgeting, forecasting and FP&A, while influencing pricing and strategic initiatives with the leadership team. You'll build analytics capabilities using modern finance tech, deliver board-ready reporting, and lead a growing finance team in a hybrid Croydon-based role. #J-18808-Ljbffr ...

Legal platforms with a focus on SAP SuccessFactors and employee experience solutions Design AI-enabled HR and Legal solutions (e.g., copilots, automation, personalization, analytics-driven insights) Lead integration architecture across HR, Legal, enterprise systems (ERP, CRM), and external platforms Translate business requirements into scalable, secure, and reusable solution designs Ensure … Talent, Learning, or Experience modules) Strong understanding of employee experience platforms and legal workplace solutions Experience delivering AI solutions (e.g., chatbots, copilots, automation, personalization, analytics) Hands‐on experience with enterprise integrations (APIs, middleware, event-driven architectures) Strong data architecture knowledge (data models, data pipelines, governance, analytics. Cybersecurity, PII management) Experience ...