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Fin

Staff Data Engineer - GTM

Fin · Dublin, Ireland; London, England

Posted 29 days ago

or apply directly on Fin's site. We never take the application ourselves.

Is this posting real?

This role has been open
29 days
Fin's roles stay open a median of 45 days
Reposted
No
Salary listed
No
28% of Fin's roles list one
Ghost-job risk at Fin
high
94 stale, 0 reposted of 130 open
Hiring momentum
162 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Fin's own greenhouse board since 2026-08-03. Full hiring picture for Fin.

About this role

As a Staff Data Engineer at Fin, you will be responsible for building and maintaining the systems that manage account and contact data, ensuring accuracy and efficiency in how this data supports various teams like Sales and Marketing. Your work will involve entity resolution, account hierarchy modeling, and creating pipelines for sourcing and enriching data, particularly using LLMs and web research. You will collaborate closely with cross-functional teams to understand their needs and provide the data foundation necessary for their success.

Our read on this posting2.8out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Fin as an employer.

What you need

  • Genuine interest in growing the business and affinity for GTM teams
  • Experience with the modern data stack: dbt, Snowflake, Airflow
  • Experience building with LLMs in production
  • Experience with entity resolution, identity or deduplication problems
  • Hands-on experience integrating with SaaS APIs and business systems, especially Salesforce
  • Strong communication skills

Nice to have

  • Experience with GTM data vendors and tooling like ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census/Fivetran, Gong
  • Experience with territory design, account scoring, propensity models or ICP definition
  • Exposure to privacy and compliance considerations around contact data (GDPR, CCPA, consent management)

Worth weighing

  • Hybrid working policy requires at least three days in the office per week
  • No specific salary or benefits details provided
  • Focus on commercial outcomes may require balancing technical work with business needs

Summarised from Fin's posting. Read the full original.

Listed by Fin on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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