Data Warehouse Developer

We are looking for an experienced Data Warehouse Developer / Data Engineer to design, develop, and maintain scalable enterprise data solutions with a strong focus on data integration, transformation pipelines, and data modelling. The role primarily focuses on building robust and maintainable data warehouse architectures and ELT/ETL processes.

• Design, develop, optimize, and maintain enterprise‑grade data warehouse solutions and data pipelines.
• Build scalable ELT/ETL processes for integrating data from various enterprise applications and source systems.
• Develop and maintain dimensional and relational data models to support analytics and operational reporting requirements.
• Ensure high standards for data quality, performance, maintainability, scalability, and reliability.
• Collaborate with business stakeholders and application teams to understand business processes, system landscapes, and data requirements.
• Support data architecture decisions and contribute to overall data platform design and best practices.
• Analyze and troubleshoot data integration and performance issues across the data platform.
• Participate in requirements gathering, technical design discussions, testing, deployment, and operational support activities.
• Create and maintain technical documentation related to data models, interfaces, and transformation logic.
• Contribute to continuous improvement initiatives around data engineering standards, automation, and development processes.
• Support reporting and analytics teams by providing reliable and well‑structured data foundations.

• Bachelor's Degree or equivalent experience required.
• 5+ years of professional experience in Data Warehouse Development, Data Engineering, or related fields.
• Strong hands‑on experience with either Snowflake or Microsoft SQL Server‑based Data Warehouse environments.
• Strong SQL development skills and experience optimizing complex queries and transformations.
• Solid experience in enterprise data modelling (dimensional and/or relational modelling).
• Experience developing and maintaining ETL/ELT pipelines and integrating data from multiple business applications.
• Good understanding of enterprise business processes and the ability to work in a consulting‑oriented environment with business stakeholders.
• Experience translating business requirements into technical data solutions.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Excellent communication skills and ability to collaborate across technical and non‑technical teams.
• Ability to work independently and manage multiple priorities in a dynamic environment.

• Experience with SAP ECC or Salesforce.
• Experience with Python for data processing.
• Experience with cloud‑based data platforms and modern data engineering concepts.
• Experience with dbt (Data Build Tools).
• Experience with front‑end analytics and visualization tools such as Qlik or Tableau.
• Experience with data orchestration and scheduling tools.
• Exposure to modern analytics engineering practices and CI/CD processes for data platforms.
• Experience working in international or cross‑functional project environments.
• Experience in utilizing AI technologies in displaying business data results.