Senior Data Engineer(m/w/x)

Requirements

• Bachelor's Degree in computer science or related STEM field
• 5+ years hands-on Data Engineering experience
• Strong Python and SQL proficiency
• Solid Batch and stream processing experience
• Proven Dimensional Data Modelling and Data Vault experience
• Data Orchestration tools experience
• Familiarity with data quality and validation frameworks
• Metadata tools integration experience
• Strong version control (Git) and CI/CD understanding
• Cloud platforms experience (AWS preferred)
• Practical Data Lakehouse concepts and technologies experience
• Proactive mindset, strong ownership, initiative, drive
• Strong communication skills, professional English proficiency
• BPM software workflow configuration delivery
• ML teams experience, ML/DL/NLP concepts familiarity
• Valid work permit

Tasks

• Architect, build, and scale a modern data platform
• Lead design and delivery of enterprise data infrastructure
• Architect Databricks lakehouse solutions
• Implement Databricks lakehouse solutions
• Design, build, and maintain scalable ELT pipelines
• Develop and optimize streaming and batch data pipelines
• Tune data platform performance
• Optimize data platform costs
• Govern cluster and compute resources
• Define and enforce data contracts and schemas
• Define and enforce data governance standards
• Ensure data quality, observability, and lineage
• Collaborate with data scientists and analysts
• Deliver reliable, self-serve data products
• Establish and champion data engineering best practices
• Establish and champion data engineering standards
• Establish and champion reusable frameworks
• Stay current with Databricks ecosystem
• Stay current with lakehouse trends
• Stay current with data engineering patterns
• Participate in code reviews
• Maintain high quality, performance, and security standards
• Engage in Agile/Scrum ceremonies
• Contribute architectural insights
• Provide technical direction to the team

Work Experience

Education

Languages

Tools & Technologies