# Staff Data Engineer - GTM

**Company:** [Intercom](https://hotfix.jobs/companies/intercom)
**Location:** Dublin, Ireland, London, United Kingdom
**Role:** Data Engineering
**Experience:** 7+ years
**Skills:** dbt, Snowflake, Airflow, LLMs, Prompt Design, Web Crawling, Entity Resolution, Deduplication, Salesforce, Saas Apis, Marketo, Clay, Python, GDPR, CCPA
**Posted:** 2026-08-18

> Builds the account, contact, hierarchy, enrichment, and identity systems that power go-to-market operations. The role requires modern data-stack experience, production LLM development, entity resolution, SaaS integrations, and close partnership with Sales, Marketing, and RevOps.

## Job Description

## Responsibilities
- Own account identity by building entity-resolution systems for domain and firmographic matching, confidence scoring, and merge/deduplication pipelines.
- Model account hierarchies linking accounts to parent, top operating parent, and ultimate corporate parent.
- Build account-sourcing pipelines that turn market definitions into ranked, deduplicated, CRM-ready lists and push them into Salesforce with appropriate ownership and metadata.
- Build contact-sourcing and enrichment pipelines, including verification, enrichment, privacy, and consent controls.
- Build LLM-powered enrichment using prompt design, web search, crawling, and multiple providers to answer questions about target companies.
- Land data in well-modeled and tested dbt models in Snowflake, orchestrated with Airflow, and sync it to Salesforce, Marketo, Clay, and other GTM systems.
- Instrument pipelines with tests, alerts, and reconciliation to maintain data quality and trust.
- Partner with Sales, Marketing, and Operations to define data foundations that support commercial goals.

## Requirements
- Genuine interest in growing the business and working closely with go-to-market teams.
- Experience with dbt, cloud data warehouses—especially Snowflake—and DAG orchestrators such as Airflow.
- Production experience building with LLMs, including prompt design and evaluation, tool or function calling, web search and crawling, and cost and latency control.
- Experience with entity resolution, identity, or deduplication for messy real-world records, including precision and recall trade-offs.
- Hands-on experience integrating SaaS APIs and business systems, especially Salesforce.
- Strong communication skills for explaining technical and data concepts to both executives and engineers.
- Growth mindset and eagerness to learn rapidly changing tools.

## Nice to Haves
- Experience with ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census, Fivetran, or Gong.
- Experience with territory design, account scoring, propensity models, or ICP definition.
- Exposure to privacy and compliance considerations for contact data, including GDPR, CCPA, and consent management.

## Compensation and Benefits
- Competitive salary and equity.
- Pension scheme with a match of up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off.
- Paid maternity leave and six weeks of paternity leave.
- Weekday lunch, snacks, and a stocked kitchen.
- Regular compensation reviews.
- Access to Claude Code and other AI tools.
- Cycle-to-Work Scheme and secure bike storage.
- MacBooks are standard; Windows is available for certain roles.

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