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Lead Data Engineer

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Job

  • Level
    Lead
  • Job Feld
    BI, Data
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Gehalt
    81.000 bis 103.000€ Brutto/Jahr
  • Ort
    München
  • Arbeitsmodell
    Hybrid, Onsite
  • Job Zusammenfassung

    In dieser Position entwickelst du moderne Datenarchitekturen und führst komplexe Migrationen von älteren Systemen in cloudbasierte Lösungen durch, einschließlich des Designs robuster Datenpipelines und Datenmodelle.

    Job Technologien

    Deine Rolle im Team

    • You thrive on turning decades of legacy complexity into clean, modern data architecture.
    • You feel at home navigating undocumented mainframes, tangled schemas, and ambiguous specs — and you know how to translate that chaos into a clear technical path forward.
    • If you love owning complex migrations end-to-end, building trust with stakeholders through clarity and honesty, and shaping how data moves from legacy into the lakehouse era — this is for you.
    • Migration Ownership: Lead large-scale migration projects from legacy systems (ranging from SQL over ERP to mainframes) into modern cloud/lakehouse targets, taking full technical responsibility.
    • Databricks Architecture: Design and implement robust pipelines using Spark, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, and Databricks Asset Bundles for CI/CD-style deployment.
    • Data Modeling & Reconciliation: Own data modeling, schema mapping, and reconciliation across heterogeneous systems, resolving structural mismatches independently.
    • Discovery & Assessment Leadership: Reviewing source documentation, interviewing SMEs, producing gap analyses, and translating ambiguous or outdated specs into concrete technical requirements.
    • Data Quality & Validation: Establish data quality frameworks and automated validation as team standards.
    • Stakeholder Communication: Proactively surface risks — documentation gaps, structural mismatches — clearly and early to non-technical stakeholders, representing SQUER with confidence.

    Unsere Erwartungen an dich

    Qualifikationen

    • Databricks Depth: Hands-on mastery of the Databricks ecosystem — Spark, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, and Asset Bundles for CI/CD-style deployment.
    • Data Modeling & Reconciliation: Strong command of data modeling and schema mapping across heterogeneous systems, from mainframes to legacy ERPs.
    • Communication & Risk Ownership: Ability to break down complex topics and surface risks early and clearly to both technical and non-technical stakeholders.
    • AI-Assisted Workflows: Comfort using AI/LLM-assisted tooling in a data pipeline context.
    • Exposure to agentic AI
    • Metadata management or data catalog tooling beyond Unity Catalog

    Erfahrung

    • Migration Track Record: 5+ years in data engineering, with several large-scale legacy-to-cloud/lakehouse migrations led independently.
    • Discovery Experience: Experience in discovery/assessment phases end-to-end — interviewing SMEs, identifying gaps between legacy systems and target architecture, turning ambiguity into concrete requirements.
    • Data Quality Rigor: Practical experience with data quality frameworks and automated validation (e.g., Great Expectations, dbt tests, custom reconciliation tooling).
    • Experience with legacy system archaeology (undocumented COBOL/mainframe systems, EDI, proprietary ERPs)
    • Experience building or evaluating LLM-based mapping/matching tools (schema matching, entity resolution)

    Unser Angebot

    • Ownership & Responsibility: at SQUER, we believe in empowering our team. In our flat hierarchies, your ideas and actions matter more than titles. Take the reins, make an impact and grow with us.
    • Learn & Grow: Tap into a € 5.000 annual training budget to sharpen your skills and take advantage of our in-house Leadership Academy.
    • Join and be part of our active tech community through meetups, hackathons and training sessions.
    • Get up to 40h/year additional time off for your personal education.
    • Exciting Challenges & Real Impact: Dive into diverse projects where your work truly makes a difference – for our clients and for SQUER.
    • Flexibility for Performance: Benefit from hybrid work options, flexible hours, workations within the EU, and additional vacation days – giving you the freedom to perform at your best.
    • Tailored Tools for Success: Choose your preferred hardware configuration and leverage our suite of AI tools and licenses (Anthropic, OpenAI, and more) to suit your working style.
    • We Value You: Beyond perks and benefits, we offer a competitive annual salary to recognize your exceptional contributions.
    • Be Part of a Thriving Team Culture: At SQUER, collaboration and connection are at the heart of what we do. Through open communication, shared successes, and meaningful team events – including our annual SQUER offsite – we cultivate a culture where everyone feels valued and inspired to grow together.
    • A Perks-Packed Workplace: Work in a central office near Ostbahnhof and enjoy meal vouchers, EGYM Wellpass membership, a free Deutschland-Ticket, JobRad, referral bonuses, Corporate Benefits, and Pluxee employee gifts for special occasions.
    • We believe in transparent and fair compensation. For this role, the annual gross salary ranges between € 81.000 and € 103.000 – the exact placement depends on the seniority level we assess together during the process.

    Benefits

    Work-Life-Integration

    Mehr Netto

    Gesundheit, Fitness & Fun

    Essen & Trinken

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort München

      August-Everding-Straße 25

      81671 München

      Deutschland

    Das ist dein Arbeitgeber

    SQUER

    SQUER

    Wien, München

    We are SQUER: coding architects, software engineers, agile transformation experts and cloud engineers, all striving towards one goal. Solve our customer's challenges on their way to holistic digitalization while profoundly understanding their business and constraints. Our consultants are developers and vice versa. We believe in tackling challenges hands-on over concept only. The services we provide: Technology Boost, Sustainable Delivery, Realizing Agile, Cloud Engineering.

    Description

  • Unternehmensgröße
    50-249 Employees
  • Gründungsjahr
    2019
  • Sprachen
    Deutsch, Englisch
  • Unternehmenstyp
    Digitale Agentur
  • Arbeitsmodell
    Hybrid
  • Branche
    Beratung, Internet, IT, Telekom
  • Arbeitgeber-Reviews

    von devworkplaces.com

    Gesamt

    (1 Bewertung)
    4.9
    • Engineering

      4.8
    • Workingconditions

      5.0
    • Career Growth

      5.0
    • Culture

      5.0
    Alle Reviews anzeigen
    Logo SQUER

    Lead Data Engineer

    Gehalt
    81.000 bis 103.000€ Brutto/JahrNetto aus dem Bruttogehalt im Inserat mit Steuerklasse I umgerechnet.48.580 bis 59.534 € netto/Jahr · Steuerklasse I
    Ort
    München
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Easy Apply
    Easy Apply
    Nur Englisch
    Nur Englisch erforderlich

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