Data Warehouse Developer

TL;DR

Data Warehouse Developer (ETL/SQL Server): Develop and enhance the enterprise data warehouse, data marts, OLAP cubes, and ETL pipelines that power reporting, analytics, and business intelligence with an accent on reliable data integration, transformation, and performance optimization. Focus on designing scalable data solutions, troubleshooting ETL/database issues, and validating data quality and business logic to keep insights trusted across the organization.

Location: Vienna

Salary: 70.000 EUR gross/year (paid in 14 salaries)

Company

hirify.global develops and supplies iGaming solutions and omni-channel gaming technology.

What you will do

• Develop and enhance the enterprise Data Warehouse, Data Marts, OLAP Cubes, and ETL processes based on existing architecture and designs
• Build, optimize, and maintain robust ETL workflows for reliable, high-quality data integration
• Translate business requirements into scalable data solutions in collaboration with business stakeholders and technical experts
• Monitor, troubleshoot, and optimize ETL processes and database performance
• Validate data quality, consistency, and business logic to ensure trusted reporting
• Support business intelligence by resolving data-related issues and ensuring data integrity

Requirements

• 5+ years of hands-on Data Warehouse development experience, ideally with Microsoft SQL Server
• Advanced T-SQL skills and solid experience with SQL Server Integration Services (SSIS)
• Strong expertise in designing and implementing ETL processes, data transformation, and data integration solutions
• Experience developing OLAP Cubes and Data Marts
• Ability to work with business stakeholders to analyze requirements and deliver enterprise-scale data solutions
• Completed higher education in Computer Science, Information Technology, or a comparable technical field

Nice to have

• Databricks or other cloud DWH tools

Culture & Benefits

• Hybrid model with flexible working hours
• Dedicated training budget to grow skills and deepen expertise
• Vienna HQ office with subsidized meals and daily fresh fruit, teas, and fair-trade coffee
• Subsidized public transportation and access to pool e-bikes and e-cars for business and personal use
• Healthcare benefits and local employee discounts

Hiring process

• Interviews with evaluation of technical fit for data warehousing and ETL work
• Discussion of experience, collaboration style, and alignment with the role’s data quality and performance focus