Senior Engineering Intelligence Developer

Join Anaplan as a Senior Engineering Intelligence Developer, where you'll build the measurement engine behind Product and Technology. This hands-on role involves shaping DORA and value-stream measurement, managing a KPI landscape of around 190 measures, and defining the next generation of SDLC metrics as AI changes the engineering landscape. You'll own engineering intelligence end-to-end, from raw data to dashboards, and contribute to engineering delivery through development tasks and data quality checks.

Responsibilities

• Assumer la responsabilité de l'intelligence d'ingénierie de bout en bout, y compris les données brutes, la modélisation, les couches sémantiques, les tableaux de bord et la documentation.
• Construire des métriques DORA et des mesures de flux de valeur à travers les systèmes d'ingénierie, en faisant sens d'un paysage KPI d'environ 190 mesures.
• Définir la prochaine génération de métriques SDLC à mesure que l'IA change la façon dont le travail d'ingénierie est planifié, construit, testé et expédié.
• We need a developer-minded analytics specialist who can take an ambiguous leadership question, find the real problem, model the data properly, and create trusted self-serve insight that lasts beyond the first dashboard
• A track record of building semantic layers, governed definitions, and reusable models that outlast the person who built them
• Python capability for harder transformations, enrichment, automation, and data-quality work
• Consulting strength: you can shape requirements, explain trade-offs, and challenge metrics that would mislead

Requirements

• Practical familiarity with DORA, value-stream measurement, DevOps data, and CI/CD pipeline data
• High ownership and autonomy: you can run a specialist domain without a large support team
• Strong experience in reporting, BI, or analytics engineering within an Atlassian-heavy or comparable engineering toolchain
• Working knowledge of development practices and tools, including repositories, build tooling, scripting languages, and agile delivery
• Hands-on experience with eazyBI, Power BI, Tableau, or comparable BI platforms
• Deep SQL skills across warehouses with hundreds of tables, plus the judgment to turn complexity into usable models
• Familiarity with Atlassian data models such as Jira, Confluence, Jira Align, and JSM Assets. Including use of Atlassian Analytics
• Experience in a SaaS, software development, or platform engineering environment with multiple stakeholders and shifting priorities