02 ott - Roma
Neurons Lab
About The Project (description, Duration, Stage)
Join Neurons Lab as a Data Engineer (part-time) on a flagship engagement with a European private investment group — a holding company with a C-level executive team, an investment/portfolio function and an affiliated family office.
The programme builds one private, access-scoped context layer over the group's data, then AI skills and agents on top of it. You build the plumbing underneath: Phase 1 (Capture) — turn on ingestion across calls, email, Slack and messengers, board protocols, decks and portfolio updates, live and historical; Phase 2 (Connect) — land it all in the context layer with identity resolved, access scope attached and lineage intact.
This is deliberately an unstructured-first data-engineering role. There is no clean warehouse to model: the raw material is transcripts, threads, attachments and years of archive, and the hard problems are entity resolution across people and entities, deduplication, incremental sync, PII handling, and keeping cost sane at volume.
Roughly eight to ten two-week sprints overall,
with your load front-weighted to the first four or five — allocation may flex above 0.5 FTE during Capture and Connect and settle back afterwards.
Stage: active project, start ASAP.
Tempo parziale, 20 to 30 hours-a-week engagement.
What You'll Actually Do (example Tasks)
• Stand up capture by default: notetaker on every call with speaker attribution, plus ingestion from mail, Slack and messengers — designed as opt-out, not opt-in, and reversible if the client changes their mind.
• Backfill the archive: years of historical email, Slack, board protocols, decks and portfolio updates — parsed, deduplicated and dated correctly.
• Build document parsing for the awkward long tail: PDFs, scanned board packs, spreadsheets, slide decks, forwarded attachments.
• Implement identity / entity resolution: the same person across Slack handle, mail alias and calendar invite; the same portfolio company across a deck
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