Logo EIDU & Trellis

Senior Data Platform Engineer

EIDU & Trellis

Job

  • Level
    Senior
  • Job Feld
    Data, Back End
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Gehalt
    70.000 bis 87.500€ Brutto/Jahr
  • Ort
    Berlin
  • Arbeitsmodell
    Hybrid, Onsite

    • Job Zusammenfassung

    In dieser Position entwickelst du eine vertrauenswürdige Datenplattform, die AI integriert, indem du ETL-Prozesse aufbaust, Datenverträge definierst und Governance für verlässliche Analysen implementierst.

    Job Technologien

    Deine Rolle im Team

    • We build the learning platform behind education programmes reaching children across Kenya and Nigeria. Every lesson a child takes generates a signal. Our data platform turns that signal into the evidence that tells us, our funders and the governments we report to, whether children are actually learning to read. So when a number is wrong, a decision about a child's education is wrong. Getting that right, at scale, on a platform you can trust, is the job.
    • We're hiring a dedicated Senior Data Platform Engineer to own and rebuild that platform with AI woven through it where AI earns its place, and kept off it where it doesn't.
    • Own the data platform end-to-end: Ingestion, warehouse, transformation tooling, BI, scheduling, observability, governance. Today that's Kafka Redshift, dbt Core, GitHub Actions, and Metabase. Where it goes next is yours to argue for.
    • Build the governed layer that makes AI-assisted analytics trustworthy: Semantic and metric definitions, data contracts, tests. Make sure that numbers that reach a funder or a government programme are reproducible and audited.
    • Put AI to work on the platform itself: Freshness, cost and anomaly detection, pipeline triage, automated first-pass resolution. Automate repeatable and verifiable tasks.
    • Build observability, governance and access control across the stack: scoped credentials, RBAC and access tiers in the warehouse and Metabase, audit, lineage, compliance.
    • Partner with product engineering on product event data: Making it first-class without breaking the warehouse, establish data contracts at that boundary. Collaborate on infrastructure to fuel in-app analytics products.

    Unsere Erwartungen an dich

    Qualifikationen

    • You have opinions about where AI belongs in a data platform and where it categorically doesn't and you can defend the line.
    • You can dissect dbt's tradeoffs and say when the answer is a semantic layer (MetricFlow, Cube, Malloy), SQLMesh, or something we haven't tried yet.
    • You have broad command of the modern data stack. Stream and batch, OLAP, orchestration, transformation, observability. You care about the tradeoffs between them.
    • You're fluent enough in AWS, IaC, and CI/CD to ship and run your own tooling without waiting on anyone. (Our platform team owns the underlying infrastructure - k8s, SSO, networking - so it won't be your day-to-day job.)
    • You're comfortable being a team of one. You'll be the only data engineer on a four-person data team, owning the platform end to end.

    Unser Angebot

    • Work on one of the biggest problems in the world: ensuring every child gets the education they deserve.
    • A small, high-impact team where your work shapes our direction.
    • Annual up-skilling budget.
    • Competitive equity-awarding model.
    • High degree of flexibility with regard to working hours and vacations.
    • A hybrid working arrangement, based in Berlin.
    • Compensation between €70,000 and €87,500 (if leveled as Senior).

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort Berlin

      Deutschland

    Das ist dein Arbeitgeber

    EIDU & Trellis

    EIDU & Trellis

    EIDU ist ein in Berlin ansässiges EdTech-Unternehmen, das eine digitale Plattform für öffentliche Bildungssysteme anbietet. Es kooperiert mit Regierungen und anderen Akteuren des Bildungssystems, um Lernprogramme effektiv und kostengünstig zu implementieren. Die Wirksamkeit dieses Ansatzes wurde durch eine unabhängige randomisierte Kontrollstudie bestätigt.

    Description

  • Unternehmenstyp
    Startup
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Bildungswesen
    • Logo EIDU & Trellis

    Senior Data Platform Engineer

    EIDU & Trellis
    Gehalt
    70.000 bis 87.500€ Brutto/Jahr
    Ort
    Berlin
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Nur Englisch
    Nur Englisch erforderlich

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