FinOps & Product Analytics Engineer — AI Dashboards

FinOps Weekly

Lisboa

Híbrido

EUR 60 000 - 90 000

Tempo integral

há 12 horas
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Vantagens oferecidas por esta oferta de emprego

Hybrid work system
Equity/Stock in Intapp
Home office stipend
Parental leave and other leaves
Meal allowance

Resumo da oferta

Intapp in Lisbon is expanding its R&D center and seeks a FinOps & Product Analytics Engineer to design data models, ingestion pipelines, and AI-powered reporting that turns cost, usage, and telemetry data into actionable insights for engineering, product, and finance teams.

You will build in Python and SQL, apply MCP patterns, and deliver reliable AI outputs while collaborating with FinOps and product leads. Hybrid work, equity, and growth opportunities are offered.

Qualificações

  • Strong SQL skills with complex aggregations and window functions.
  • Python proficiency for data transformation and tooling.
  • Experience with analytical/columnar databases (ClickHouse, BigQuery, Redshift, DuckDB).
  • Experience building with an LLM API and model-context/tool-use patterns (preferred).
  • Ability to translate requirements into accurate data models and queries.

Responsabilidades

  • Design and maintain analytical data models and schemas for FinOps data including cloud cost, allocation, and usage telemetry.
  • Build ingestion/normalization pipelines from heterogeneous sources into a unified analytical layer.
  • Develop AI-powered reporting and ensure reliable outputs with prompt engineering and validation.
  • Create dashboards in Metabase for FinOps metrics and extend to new domains.
  • Document data models, AI patterns, and pipeline logic for the team.

Descrição da oferta de emprego

Intapp in Lisbon is expanding its R&D center and seeks a FinOps & Product Analytics Engineer to design data models, ingestion pipelines, and AI-powered reporting that turns cost, usage, and telemetry data into actionable insights for engineering, product, and finance teams.

You will build in Python and SQL, apply MCP patterns, and deliver reliable AI outputs while collaborating with FinOps and product leads. Hybrid work, equity, and growth opportunities are offered.

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