What you will do

Design and evolve scalable data products architectures that support analytics, reporting, and advanced use cases across domains
Partner with domain and product teams to translate business needs into clear data product contracts aligned with our data platform architecture and strategy
Build and operate reliable ingestion and transformation pipelines, with strong testing, observability,and cost aware operations
Lead delivery and technical alignment n complex cross team initiatives through design reviews, mentoring, and hands on contribution
Collaborate closely with platform,security,and operations stakeholders to align engineering standards, CI/CD, and best practices
Work agile using Scrum or Kanban, contributing to planning, prioritization, and continuous improvement

Ihr Profil

What you will need

5+ years in data engineering or data architecture roles in cloud environment (preferably Microsoft Azure), including designing scalable lakehouse platforms and reference architectures
Strong SQL skills plus hands on experience with Databricks and Apache Spark, including performance tuning and cost aware design on Azure
Proven experience budling production grade ingestion and transformation pipelines, ideally with Delta Lake patterns,orchestration, and robust testing
Solid software engineering practices for data systems,including Python or Scala, Git based workflows,CI/CD, and infrastructure as code such as Terraform
Experience with modern data governance and security, including Unity Catalog concepts, RBAC, ABAC, data masking, lineage, and auditing
Strong data modeling capability for analytics and data products, including dimensional and domain-oriented modeling, plus designing data products, SLAs, and data quality controls

Data Engineer (all genders)