Job
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 summary
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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Leadership: Reviewing source documentation, interviewing SMEs, producing gap analyses, and translating ambiguous or outdated specs into concrete technical requirements.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.
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)
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.
Benefits
Higher take-home pay
Food & drink
Topics you will work on
Job locations
About your employer
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.
- 50-249 Employees
- 2019
- German, English
- Digital Agency
- Hybrid
- Consulting · Internet, IT, Telecommunication
Employer reviews
4.9Total(1 review)
- Working conditions
- 5.0
- Team culture
- 5.0
- Career growth
- 5.0
- Engineering
- 4.9
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