We are looking for an experienced Senior Data Engineer to design, build, and operate scalable cloud-based data solutions supporting analytical and business-critical use cases.
Senior Data Engineer
Tasks
Pipeline Development: Design, implement, and maintain scalable data pipelines and transformation workflows.
Data Modeling: Develop and manage analytical data models using SQL-based frameworks, translating business requirements into structured data.
Quality & Performance: Ensure high data quality, reliability, and performance across all production environments.
DevOps Integration: Implement version control, CI/CD, and automated testing for data workloads.
Collaboration: Work closely with BI and engineering teams to optimize the entire data lifecycle.
Maintenance: Monitor, troubleshoot, and document data models and engineering standards.
Requirements
Python: Solid programming skills for data processing and automation.
Azure Data Factory: Experience building and managing cloud orchestration.
Microsoft SQL Server (MSSQL): Advanced SQL skills and complex data transformation experience.
Azure Cloud: Hands-on experience within the Azure ecosystem and modern data architectures.
Nice to Have
Azure Synapse Analytics
Databricks (Spark-based processing)
Experience with dbt or equivalent SQL-centric transformation tools.
Familiarity with Infrastructure-as-Code (IaC) and automated provisioning.
