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Senior AI Data Engineer

8 hours, 54 minutes ago
Spain
Full-time
Senior
Data Engineer
Data Science and Analytics
Apache Airflow AWS Azure Dagster Elasticsearch GCP LLM Machine Learning Python Salesforce SQL
Apply Now
Elastic

Elastic

Elastic is a leading platform for search-powered solutions, providing real-time insights and making data usable for developers and enterprises worldwide.

Internet Software & Services
1K-5K
Founded 2010
View All Jobs 106

Description

  • Build and maintain the golden customer dataset by unifying GTM signals into a governed source of truth.
  • Design and operate enrichment pipelines, deduplication, entity resolution, and validation systems.
  • Prepare structured and unstructured data for AI workflows such as account research, lead scoring, churn signals, and CSM briefings.
  • Work with the RevOps Data Science team on chunking, embedding strategy, metadata design, and source integration.
  • Implement monitoring, drift detection, and lineage tracking to protect data quality before issues reach forecasts or sellers.
  • Define standards for how RevTech prepares data for AI consumption.
  • Document schemas, pipelines, and data contracts used by downstream teams.
  • Partner with RevOps analysts, GTM systems teams, and the field organization on customer data use cases.
  • Help onboard new data sources faster while keeping the dataset accurate and governed.

Requirements

  • 3+ years of experience building production pipelines that feed ML or LLM-based systems.
  • Experience working with CRM data at scale, including accounts, contacts, opportunities, and leads.
  • Understanding of entity resolution and deduplication challenges in GTM data.
  • Experience preparing data for RAG, embeddings, and AI agents.
  • Knowledge of chunking strategies, metadata enrichment, and embedding model selection.
  • Experience using LLMs for extraction, classification, and normalization, with ability to evaluate results.
  • Strong Python skills and senior-level SQL experience.
  • Experience with cloud infrastructure such as AWS, Azure, or GCP, plus orchestration tools like Airflow or Dagster.
  • Working knowledge of Elasticsearch, vector search, and ESRE, or a strong interest in building with them.
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field (preferred).
  • Prior experience on a RevOps, GTM Systems, or Marketing Operations engineering team (preferred).

Benefits

  • Competitive pay based on the work you do here, not your previous salary.
  • Health coverage for you and your family in many locations.
  • Flexible locations and schedules for many roles.
  • Generous number of vacation days each year.
  • Employer match of up to $2,000, or local currency equivalent, for financial donations and service.
  • Up to 40 hours each year for volunteer projects.
  • Minimum of 16 weeks of parental leave.

Interested in this position?

Apply directly on the company website

Apply Now

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