Senior AI Data Engineer
Elastic is hiring a Senior AI (Data) Engineer for the RevTech Engineering team within Revenue Operations to build the data foundation that Sales teams rely on. Customer data lives across Salesforce, marketing automation, billing, product telemetry, and support systems, each with 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 will partner with RevOps analysts, GTM systems teams, and the field organization, and you will be responsible for PII governance, consent management, and responsible AI practices. The role is based in Spain.
Responsibilities
- ▹Build and maintain the golden customer dataset: a canonical, governed source of truth unifying signals across GTM systems, including enrichment pipelines, deduplication, entity resolution, and validation
- ▹Make data AI-ready with the RevOps Data Science team, covering chunking, embedding strategy, metadata design, and source integration across GTM systems, product telemetry, and third-party enrichment providers
- ▹Own quality and lineage with monitoring, drift detection, and lineage tracking so anomalies surface before reaching a forecast, dashboard, or seller
- ▹Set the standard for how RevTech prepares data for AI consumption and document the schemas, pipelines, and contracts downstream teams depend on
- ▹Uphold PII governance, consent management, and responsible AI practices
Requirements
- ▹3+ years of experience building production pipelines that feed ML or LLM-based systems
- ▹GTM data fluency: experience with CRM data at scale (accounts, contacts, opportunities, leads) and the entity resolution and deduplication challenges it brings
- ▹AI-readiness experience: preparing data for RAG, embeddings, and AI agents, including chunking strategies, metadata enrichment, and embedding model selection
- ▹Experience applying LLMs to data for extraction, classification, and normalization, and evaluating whether they work
- ▹Core tools: Python, senior-level SQL, and cloud infrastructure (AWS, Azure, or GCP) with orchestration experience (Airflow, Dagster, or equivalent)
- ▹Working knowledge of Elasticsearch, vector search, and ESRE, or genuine interest in building it
Nice to have
- ▹Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
- ▹Prior experience inside a RevOps, GTM Systems, or Marketing Operations engineering team
Soft skills
What we offer
- ▹Starting salary range: €67,000 – €106,000 EUR
- ▹Competitive base salary (this role has no variable compensation component)
- ▹Health coverage for you and your family in many locations
- ▹Flexible locations and schedules for many roles
- ▹Generous number of vacation days each year
- ▹Up to $2000 (or local equivalent) matched for financial donations and service
- ▹Up to 40 hours each year for volunteer projects
- ▹Minimum of 16 weeks of parental leave
About the company
Elastic is the Search AI company. Its Elastic Search AI Platform, used by more than 50% of the Fortune 500, combines the precision of search with the intelligence of AI to help organizations get real-time answers from all of their data at scale. Elastic's cloud-based solutions for search, security, and observability handle both structured and unstructured data. The company is distributed by intention, hiring engineers worldwide and collaborating across continents.