Back to jobs
Job Description
What You Bring
- Technical Expertise: Strong hands-on experience with Azure Databricks, Spark, Delta Lake, dbt, SQL, and Python. Solid command of lakehouse architectures, data modeling, analytics engineering practices and production-grade data pipelines.
- Platform Mindset: Proven experience designing and operating data platforms in enterprise or regulated environments, including Unity Catalog governance and cost/performance optimization.
- Player-coach Leadership: Experience leading or mentoring a small technical team while staying hands-on in architecture, implementation, code reviews, and production delivery.
- Productization & Self-Service: Experience taking analytics or data products from prototype to production and enabling self-service consumption by non-platform teams (data scientists, analysts, business users).
- Domain Knowledge: Familiarity with financial data structures and the demands of data-driven systems in complex, regulated organizations is highly desirable.
- Experience & Education: 5+ years in data engineering, analytics engineering, or data platform roles. Relevant degree in Computer Science, Engineering, or related field; Azure or Databricks certifications are a strong plus. English fluency is required.