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Lead Data Engineer - Data Migration & Lakehouse(m/w/x)
Leading large-scale data migrations to cloud lakehouse targets, designing pipelines with Spark, Delta Lake, and Databricks. 5+ years of data engineering experience, including Databricks ecosystem mastery, required. 40h/year additional time off for personal education, flat hierarchies.
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Anforderungen
- 5+ years data engineering experience
- Led large-scale legacy-to-cloud/lakehouse migrations
- Databricks ecosystem mastery
- Spark, Delta Lake, Unity Catalog experience
- Lakeflow Declarative Pipelines experience
- Databricks Asset Bundles for CI/CD experience
- Strong data modeling skills
- Schema mapping across heterogeneous systems
- End-to-end discovery/assessment phase experience
- Interviewing SMEs experience
- Identifying legacy system gaps
- Turning ambiguity into concrete requirements
- Practical data quality framework experience
- Automated data validation experience
- Ability to break down complex topics
- Surfacing risks early and clearly
- Communication with technical stakeholders
- Communication with non-technical stakeholders
- Comfort using AI/LLM-assisted tooling
- Legacy system archaeology experience
- Experience with undocumented COBOL/mainframe systems
- Experience with EDI systems
- Experience with proprietary ERPs
- Exposure to agentic AI
- Metadata management tooling experience
- Data catalog tooling experience beyond Unity Catalog
- Experience building LLM-based mapping/matching tools
- Experience evaluating LLM-based mapping/matching tools
- LLM-based schema matching experience
- LLM-based entity resolution experience
Aufgaben
- Lead large-scale data migrations from legacy systems to modern cloud/lakehouse targets
- Design and implement robust data pipelines using Spark, Delta Lake, Unity Catalog, and Databricks Asset Bundles
- Own data modeling, schema mapping, and reconciliation across diverse systems
- Review source documentation and interview subject matter experts
- Produce gap analyses and translate ambiguous specs into technical requirements
- Establish and maintain data quality frameworks and automated validation processes
- Communicate risks and technical challenges clearly to non-technical stakeholders
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- 5000 annual training budget
- Meal vouchers
- 40h/year additional time off for personal education
- Additional vacation days
- Ownership and responsibility
- Flat hierarchies
- Thriving team culture
- Open communication
- Leadership Academy
- Training sessions
- Active tech community
- Meetups
- Hackathons
- Team events
- Annual SQUER offsite
- Hybrid work options
- Flexible hours
- Workations within the EU
- Choice of hardware configuration
- AI tools and licenses
- Shared successes
- Referral bonuses
- Central office near Ostbahnhof
- EGYM Wellpass membership
- Free Deutschland-Ticket
- JobRad
- Corporate Benefits
- Pluxee employee gifts
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Nejo hat diesen Job automatisch von der Website des Unternehmens SQUER Solutions München GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei SQUER Solutions München GmbHÜber das Unternehmen
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