{
  "job_id": "FwVV_h4MwZyNxRTJAAAAAA==",
  "job_city": null,
  "job_state": null,
  "job_title": "Internal Tools / Data Engineer",
  "job_salary": null,
  "job_country": "GB",
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  "job_location": "United Kingdom",
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      "publisher": "LinkedIn",
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      "publisher": "Talents By StudySmarter",
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  "employer_name": "Mentor Talent Acquisition",
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  "job_posted_at": "9 days ago",
  "job_publisher": "LinkedIn",
  "job_apply_link": "https://uk.linkedin.com/jobs/view/internal-tools-data-engineer-at-mentor-talent-acquisition-4382585624?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
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  "job_description": "We’re building cutting-edge LLM-powered tools to supercharge the investment research process for private market investors. Our clients include several of the world’s top 10 private equity and consulting firms, and are responsible for investing billions of dollars annually. We’re a profitable,\n\nbootstrapped company with a growing team of 24 based in London and NYC. We 10x’d our revenue in 2025.\n\nROLE DESCRIPTION\n\nAs our first engineering hire entirely focused on our internal go-to-market and operations stack,\n\nyou'll have the unique opportunity to:\n\n- Design and build a start-up’s tech stack to be AI-first from the ground up; contribute to infra\n\ndecisions, direction and prioritization\n\n- Ship internal tools quickly and get immediate feedback from your colleagues (they will quickly\n\nbecome your biggest fans!)\n\n- Develop and own our data warehouse and internal data architecture\n\n- Work on groundbreaking projects involving LLMs, agents and automation\n\n- Shape our engineering culture\n\nSAMPLE SET OF PROJECTS\n\n- User Health Reporting + CRM Data Quality: automate data pipelines to feed metrics into BI\n\ndashboards / ML evals (e.g. usage, demos, feedback) and build alert systems to flag risk signals (e.g. usage drop, feedback spike). Ensure we have accurate usage and profile data across our customers.\n\n- User Feedback —> Product Development pipeline: build a tool that takes summaries of feedback\n\ncalls with users, evaluates priority feedback items / feature requests and then shares them with our\n\nProduct team.\n\n- Billing / Invoicing: implement complicated B2B pricing models, involving combination of usage-\n\nbased, seat-based and platform fees in a single invoice. Automate as much of the financial reconciliation and reporting process as possible!\n\n- Building data warehouse and reporting → build data warehouse to integrate our product database, crm data and operations / finance data → generate team-specific dashboards from data\n\nABOUT YOU\n\nWe're looking for a Back-end / Data Engineers who like building internal tools and helping their\n\ncommercial team colleagues work 10x faster:\n\n- Based in London, in our Farringdon office\n\n- Have experience leading projects end-to-end and are self-directed, comfortable reporting into\n\nseveral senior stakeholders\n\n- Have strong communication skills, with experience translating ‘laymen speak’ into technical requirements\n\n- Has interest and/or experience in our commercial tech stack: Notion, Slack, Retool, Amplitude,\n\nStripe\n\n- Sales, Finance, Ops, Customer Success will be relying on you to make them more efficient / AI-\n\nenabled\n\n- Proficient in PostgreSQL and one or more of the data platforms (Snowflake, BigQuery, Databricks,\n\nFirebolt, etc.)\n\n- Experience with our product stack (Node.js & Typescript) preferred\n\n- Feel like you are never building fast enough. You have start-up experience and thrive in fast-paced, chaotic environments\n\n- Bonus points for experience building & designing AI-powered products!\n\nBENEFITS\n\n- Private health insurance\n\n- Gym membership (Third Space)\n\n- Dinner when working late\n\n- Frequent offsites (recent offsites include Crete, Greece; upstate New York, USA; Cancun, Mexico)\n\nFor more info or to apply, please share your CV to gjurgjica@mentortalent.ie.",
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  "employer_website": "https://mentortalent.ie",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773273600,
  "job_posted_at_datetime_utc": "2026-03-12T00:00:00.000Z"
}