OverviewLead Data Engineer / Applied ML (Hands-on) — Circular EconomyLead an existing 2-person teamThe hookOwn the data & ML engine behind a real-world re-commerce platform. 70% building, 30% leading. Ship pipelines and models that set prices, manage risk and match catalog, and feel your work move the business, every week.What you’ll do (outcomes, not just tasks)Set the bar (Tech Lead) : Own architecture, standards and costs, so the team moves fast and safely.Level up people (Lead 2 → 3) : Mentor two engineers via reviews, 1 : 1s,and lightweight rituals that improve delivery.Data Engineering : Build / operate batch + streaming ELT; enforce data contracts, lineage, SLAs / SLOs to earn stakeholder trust.Applied ML : Train, validate and deploy models for pricing, risk and product matching; wire up A / B tests, drift & performance alerts and feedback loops.NLP & enrichment : Practical NLP (text cleanup, entity / product resolution) to boost search, classification and recommendations.Own production : Ship, measure, iterate, because value only counts in prod.Stack you’ll touch (familiarity > checklists)Python, SQLPandas / PolarsSpark (nice)scikit-learn, PyTorch / TensorFlow, spaCyWarehouses / LakesOrchestration & streamingContainers & CI / CDCloud (AWS / GCP / Azure)IaC (plus)Plotly / Seaborn for exploration.Signals you’re the oneYou’ve led small teams (or were the de-facto lead) and still love to code.You turn fuzzy problems into simple, reliable data / ML systems.You’ve shipped end-to-end : features → training → serving → monitoring.You care about quality, cost and reliability as much as accuracy.You write clearly and work async with Product & Backend without drama.Nice to haveFintech / marketplace / re-commerce exposureStreaming & feature storesVector search / RAGPrivacy & governance (PII, access control, lineage).How we work (why this feels good)Autonomy + ownership : You make trade-offs, not slide decks.Fast feedback : Tight loop from idea → impact.Learning by shipping : Experiments beat ceremony, every time.Offer & setupCompetitive salary + meaningful equityMilan (IT) hybrid or EU-remoteWell-funded, product-obsessed environment.Not for you if...You want research-only or people-management-only. This is hands-on leadership.EligibilityBSc / MSc in CS / Engineering / Math (or equivalent).How to apply (micro-ask) :Send your CV + GitHub / LinkedIn and 2–3 lines on (1) a team you led and (2) a pipeline / model you shipped that moved a metric, because results matter.
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