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Lead Data Engineer - Data Migration & Lakehouse

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SQUER

Job

  • Level
    Lead
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    75.000 to 95.000€ Gross/Year
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite

    • Job Summary

    In this role, you design modern data pipelines, execute large-scale migrations, and ensure data modeling and quality while communicating closely with stakeholders.

    Job Technologies

    Your role in the 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Leadership: Reviewing source documentation, interviewing SMEs, producing gap analyses, and translating ambiguous or outdated specs into concrete technical requirements.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.

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    Our expectations of you

    Qualifications

    • 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

    Experience

    • Migration Track Record: Over 5 years of experience in data engineering, with several large-scale legacy-to-cloud/lakehouse migrations independently led.
    • 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 in building or evaluating LLM-based mapping/matching tools (schema matching, entity resolution).

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    What we offer

    • 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 40 hours per year of 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 with a spacious terrace and BBQ, enjoy free lunch in the office, MyClubs sports membership, and either a free “Wiener Linien” ticket or a partial contribution to the “Klimaticket”.
    • Plus, benefit from free massages, referral bonuses, Corporate Benefits, and JobRad.
    • Annual employee presents and a monthly team breakfast add extra value to your work experience.
    • We believe in transparent and fair compensation. For this role, the annual gross salary ranges between €75,000 and €95,000 – the exact placement depends on the seniority level we assess together during the process.

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    Benefits

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    Job Locations

    • Location Vienna

      Althanstraße 4/3/63

      1090 Wien

      Austria

    This is your employer

    SQUER

    SQUER

    Wien, München

    We are a full-service provider that thinks agile and solves complex problems with technology. The result is efficient software solutions, successful product developments, and a precise agile evolution of our partner businesses.

    Description

  • Company Size
    50-249 Employees
  • Founding year
    2019
  • Language
    German, English
  • Company Type
    Digital Agency
  • Working Model
    Hybrid
  • Industry
    Consulting, Internet, IT, Telecommunication

    • Employer reviews

    by devworkplaces.com

    Total

    (1 Review)
    4.9

    • Engineering

      4.8

    • Workingconditions

      5.0

    • Career Growth

      5.0

    • Culture

      5.0
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    Logo SQUER

    Lead Data Engineer - Data Migration & Lakehouse

    SQUER
    Salary
    75.000 to 95.000€ Gross/YearNet salary converted from the gross salary in the job ad using tax class I.45.351 to 55.692 € net/Year · Tax class I
    Location
    Vienna
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders
    Easy Apply
    Easy Apply
    English Only
    English only required
    Direct Apply

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