Senior SQL Developer – Azure Data Factory

Jobtailor; Deutschland; Vor Ort; EUR 70.000 - 110.000; Teilzeit

Zusammenfassung

Jobtailor seeks an experienced data engineering professional to lead the development of data solutions, pipelines, and API-driven database components. The role focuses on high-volume data processing and enterprise data architecture within cloud ecosystems.

Ideal candidates bring 5+ years of SQL development, expertise with Azure Data Factory, and experience delivering scalable data platforms and API-hosted data services.

Qualifikationen

• 5+ years hands-on SQL development with stored procedures and large-scale batch processing.
• Experience designing enterprise data platforms.
• Experience building Azure Data Factory pipelines.
• Experience creating and deploying database-hosted APIs.
• Proficiency in data analysis, transformation, and ETL in cloud ecosystems.
• Familiarity with modern data integration patterns.

Aufgaben

• Lead development of data solutions, pipelines, and API-driven database components.
• Drive high-volume data processing and enterprise data architecture efforts.

Kenntnisse

SQL development

Azure Data Factory

APIs

Data pipelines

ETL processes

Cloud data ecosystems

Data modeling

Automation tooling

Tools

SQL Server

Jobbeschreibung

Responsibilities

• Lead development of data solutions, pipelines, and API-driven database components
• Drive high-volume data processing and enterprise data architecture efforts

Requirements

• 5+ years hands-on SQL development with stored procedures and large-scale batch processing
• Proven experience designing and delivering enterprise data platforms
• Building and maintaining Azure Data Factory pipelines
• Creating and deploying database-hosted APIs
• Data analysis, transformation, and ETL expertise
• Broader experience across cloud data ecosystems
• Additional exposure to advanced data modeling or automation tooling
• Familiarity with modern data integration patterns

Core Competencies

Demonstrates expertise in SQL development, data pipeline creation, and enterprise data architecture, with a strong focus on Azure Data Factory and API-driven solutions. Proficient in data analysis, transformation, and ETL processes within cloud data ecosystems.