Fin5 days ago
Staff Data Engineer - GTM
Salary not specified
MARKET
15,667 ₽median for this role
Data Engineer · 11 jobs with disclosed pay
10,833half of the offers: 14,166–16,81220,833
The employer didn't disclose pay — compare with the market yourself.
Dublin
Responsibilities
- 01Owning account identity. Building and improving the entity-resolution layer that decides when two records are the same company: domain and firmographic matching, confidence scoring, and the merge/dedupe pipelines that keep Salesforce clean at scale.
- 02Modelling account hierarchy. Designing the organisation spine that links accounts to their parent, top operating parent and ultimate corporate parent.
- 03Building account sourcing pipelines. Turning market definitions into ranked, deduplicated, CRM-ready account lists: sourcing from third-party and internal signals, scoring fit, and pushing accounts into Salesforce with the right owner and the right metadata.
- 04Building contact sourcing and enrichment pipelines. Finding the right people at target accounts, verifying and enriching them, respecting privacy and consent requirements, and delivering them into the tools reps and marketers actually work in.
- 05Building LLM-powered enrichment. Extending our enrichment framework — LLM jobs with web search and crawling tools across multiple providers, to answer questions no vendor sells: what support channels does this company run, are they hiring CS or sales roles, do they ship an AI product, how ready are they for Fin.
- 06Making the data usable. Landing everything in well-modelled, well-tested dbt models in Snowflake orchestrated in Airflow, and syncing it out to Salesforce, Marketo, Clay and the rest of the GTM stack.
- 07Owning quality and trust. Instrumenting your pipelines with tests, alerts and reconciliation so problems surface before a rep finds them, and being the person GTM comes to when a number looks wrong.
- 08Partnering on the problem, not the ticket. Sitting with Sales, Marketing and Ops to understand what they are actually trying to do, then proposing the data foundation that unlocks it.
Requirements
- 01A genuine interest in growing the business and a real affinity for GTM teams. You are curious about how sales and marketing work, comfortable in a room full of reps, and motivated by commercial outcomes rather than only technical ones.
- 02Experience with the modern data stack: dbt, a cloud warehouse (we use Snowflake), and a DAG orchestrator (we use Airflow).
- 03Experience building with LLMs in production: prompt design and evaluation, tool/function calling, web search and crawling, cost and latency control.
- 04Experience with entity resolution, identity or deduplication problems — matching messy real-world records, and reasoning about precision/recall trade-offs where a false merge has a real business cost.
- 05Hands-on experience integrating with SaaS APIs and business systems, especially Salesforce: reading from them, writing back to them.
- 06Strong communication: you can explain a hierarchy change to a CRO and a merge heuristic to an engineer, on the same day.
- 07A growth mindset and eagerness to learn — the tooling in this space is changing fast.
What we offer
- 01Competitive salary and equity in a fast-growing start-up
- 02We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
- 03Regular compensation reviews - we reward great work!
- 04Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
- 05Pension scheme & match up to 4%
- 06Peace of mind with life assurance, as well as compr