Orgvue Limited

Orgvue Limited is seeking a Data & Insight Engineer to develop an AI-native analytics environment. Based in Greater London, this role will involve building data pipelines and semantic data models, automating analysis, and supporting AI-driven business intelligence. With a hybrid working model requiring 2 days a week in the office, the position also offers various wellbeing perks, private medical insurance, and a discretionary bonus.

Orgvue is an organizational design and planning platform that empowers businesses to transform their workforce by understanding the work people do and the skills they have. Our platform connects strategy to structure, providing clarity of vision, so leaders can build a more adaptable, better performing organization that thrives in a constantly changing world of work. The world's largest and best-known enterprises and consulting firms use Orgvue to visualize and model current and future states of the organization and make faster, more informed decisions. The company is headquartered in London, with offices in Philadelphia, The Hague, Toronto, and Sydney. Role Overview The Data & Insight Engineer will build and own an AI-native analytics environment where insights are generated automatically from data rather than manually through dashboards and reports. This role combines data engineering, analytics engineering, and AI-enabled insight generation. Responsibilities include building semantic data models, developing automated insight pipelines, and integrating Snowflake Cortex capabilities to support conversational analytics and AI-driven business intelligence. Responsibilities Data Pipeline Engineering Build and maintain robust data ingestion and transformation pipelines Integrate data from operational systems into the analytics platform Maintain data quality frameworks and validation checks Optimise performance of data processing and analytics workloads AI Insight Pipeline Development and ownership Automate recurring analysis traditionally performed manually Enable natural-language analytics across curated datasets Develop systems that translate business questions into structured data queries Semantic Data Modelling Design and maintain curated business data models that support reliable analytics and AI-driven insights Define core business entities, metrics, and KPI definitions Build and maintain semantic layers within Snowflake Governance and Quality Assurance Monitor model performance, accuracy, and cost usage Implement safeguards to ensure reliable and explainable outputs Maintain governance standards for AI-enabled analytics workflows Strong SQL and data modelling expertise Experience working with Snowflake Experience with analytics engineering tools such as dbt Proficiency with Python or similar languages for data workflows Experience building and maintaining data pipelines Experience translating business questions into analytical models and metrics Experience working with analysts, product teams, and business stakeholders to support decision-making Preferred but not essential Experience working with large language models (LLMs) or AI-enabled analytics platforms Familiarity with prompt design or AI-assisted analytical workflows Familiarity with Snowflake Intelligence Hybrid working - 2 days a week in the London office Wellbeing: Sanctus Coaching, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing day Subsidised Gym Membership Private Medical Insurance (including Dental and Vision) and Life Assurance 25 days holiday (increasing to 30 days at a rate of 1 extra day per year) Employer pension contribution of 5% of your gross salary, if you contribute a minimum of 3% Season ticket Loan Cycle to Work Scheme Annual Discretionary Bonus Here at Orgvue we promote individualism and a diverse workforce to build on our future success

Overview Orgvue is a leading organizational design and planning software platform that captures the power of data visualization and modelling to build more adaptable, and better performing organizations. HR, finance and business leaders use Orgvue for actionable insight and analysis that helps them make faster workforce decisions in a constantly changing world. Orgvue is used by the world's largest and best-known enterprises and management consulting firms to visualize and confidently build the businesses they want tomorrow, today. The company is headquartered in London, with offices in Philadelphia, The Hague, Toronto, and Sydney. Role We are seeking a Principal Site Reliability Engineer who will be a senior technical leader focused on scaling and hardening our AWS- and Kubernetes-based infrastructure. Responsibilities Define and enforce SLOs, SLIs, and error budgets across critical services Crafting and implementing a cloud infrastructure and tooling strategy Work across our Org to level up SRE practices Help implement robust observability metrics, logs & traces using our observability tool Guide the team in building automated, self-healing systems Own and evolve our incident response processes, including on-call practices and post-mortem culture Mentor engineers across the org on best practices in reliability, operational readiness, and scalable infrastructure Drive Infrastructure as Code (IaC) using Terraform, Kubernetes, CloudFormation and GitOps practices Collaborate closely with security, DevOps, and software teams to ensure compliance, scalability, and operational excellence Evaluate and introduce tools, patterns, and practices that improve the performance and reliability of our SaaS platform Qualifications Demonstrable experience leading SRE transformations Deep hands-on expertise with Kubernetes (EKS preferred) in production environments Strong experience withAWS core services (EC2, EKS, RDS, S3, ALB/NLB, IAM, CloudWatch, etc.) Expert in Infrastructure as Code using tools such as Terraform, with knowledge of GitOps workflows Strong background in observability: metrics, visualization, logging, and tracing Understanding of automation, SDLC, CI/CD pipelines, deployment automation, and blue/green or canary releases Proven experience with incident management, disaster recovery planning, root cause analysis, and post-incident reviews Benefits Hybrid working - 1+ days a week in the London office Wellbeing: Sanctus Coaching, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing day Subsidised Gym Membership Private Medical Insurance (including Dental and Vision) and Life Assurance 25 days holiday (increasing to 30 days at a rate of 1 extra day per year) Summer Fridays (half-day Fridays for the months of July and August) Employer pension contribution of 5% of your gross salary, if you contribute a minimum of 3% Season ticket Loan Cycle to Work Scheme Annual Discretionary Bonus Here at Orgvue we promote individualism and a diverse workforce to build on our future success