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Lead Data Engineer - Data Migration & Lakehouse

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SQUER

Job

  • Level
    Lead
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite
  • Job Field
    Data, Back End
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    75.000 to 95.000€ gross/year

Job Summary

In this role, you lead migrations from legacy systems to modern data architectures, design robust data pipelines, and ensure a smooth transition through data modeling and quality assurance.

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Leadership: Reviewing source documentation, interviewing SMEs, producing gap analyses, and translating ambiguous or outdated specs into concrete technical requirements.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: Practical expertise in 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 in using AI/LLM-assisted tooling within a data pipeline context.
  • Exposure to agentic AI
  • Metadata management or data catalog tooling beyond Unity Catalog

Experience

  • 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)

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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, enjoy 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

Work-Life-Integration

Higher Take-Home Pay

Health, Fitness & Fun

Food & Drink

Topics You Will Work On

Job Locations

Map of company locations© OpenMapTiles, © OpenStreetMap contributors

  • Location Vienna

    Althanstraße 4/3/63

    1090 Wien

    Austria

About 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

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Total

(1 Review)
4.9

  • Workingconditions

    5.0

  • Culture

    5.0

  • Career Growth

    5.0

  • Engineering

    4.8
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Logo SQUER

Lead Data Engineer - Data Migration & Lakehouse

SQUER
Salary
75.000 to 95.000€ gross/yearEstimated net salary based on the gross salary in the job ad.49.093 to 59.747 € net/year
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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