Senior AI Data Engineer

Job location: Spain

What is The Role

Every forecast, territory plan, and customer conversation at Elastic depends on the quality of our customer data. We're looking for a Senior AI Engineer to join the RevTech Engineering team inside Revenue Operations and shape the data foundation our Sales teams rely on.

Our customer data lives across Salesforce, marketing automation, billing, product telemetry, and support systems. Each has its own definitions, gaps, and drift. This role turns that fragmented reality into a trusted, enriched, AI-ready dataset — and keeps it that way as Elastic scales.

You'll partner with RevOps analysts, GTM systems teams, and the field organization to make sure the people closest to our customers are working from a customer view they can trust. The work is field-facing: success looks like better account scoring, cleaner segmentation, faster onboarding for new data sources, and AI-powered workflows that actually save sellers time. Because this data is customer data, you'll also be responsible for holding the line on how it's handled — PII governance, consent management, and responsible AI practices are part of the job, not a footnote.

What You Will Be Doing

• Build and maintain the golden customer dataset. Design the canonical dataset that unifies signals from across GTM systems into a single, governed source of truth — including the enrichment pipelines, deduplication, entity resolution, and validation systems that keep it accurate as sources land and drift.
• Make data AI-ready. Work with the RevOps Data Science team to prepare structured and unstructured data for downstream AI workflows — account research, lead scoring, churn signals, CSM briefings — covering chunking, embedding strategy, metadata design, and source integration across GTM systems, product telemetry, and third-party enrichment providers.
• Own quality and lineage.&