Data & Analytics - Data Engineer (all genders)

Seniority experienced

Working mode hybrid

Position Type full-time

Gender all genders

Start date asap

Data & Analytics

Your Tasks

• Collaborate with data scientists, analysts, and product owners to build reliable, maintainable pipelines and products
• Design, build, and operate Databricks pipelines using Python, Lakeflow Declarative Pipelines, and Jobs/Workflows
• Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases
• Ensure pipeline quality via versioning, testing, monitoring, SLAs/SLOs, and automated deployments
• Manage platform costs and pipeline performance.
• Support establishment of standards, reusable templates, and documentation for group-wide use

Qualifications

• Degree in Computer Science, Software Engineering, Data Engineering/Data Sc...