Solution Architect - Data Engineer

Responsibilities

• Design and develop scalable data pipelines and a growing data lake
• Build and extend data processing workflows using Python, Apache Spark, and Databricks
• Define technical standards, best practices, and reusable frameworks for data engineering
• Ensure data quality, reliability, performance, and maintainability across all data solutions
• Support data modeling, integration, and transformation processes for analytics and reporting
• Drive automation, monitoring, and CI/CD improvements to ensure operational excellence
• Collaborate across teams as a technical interface between the data platform and business stakeholders
• Contribute to architecture decisions and long-term data platform strategy

Requirements

• Outstanding programming experience, preferably in Python, with the ability to write clean, testable, production-grade code
• Strong SQL skills and familiarity with structured and semi-structured data formats (JSON, Protobuf, Delta format)
• Hands-on experience with Apache Spark, ideally on Databricks, and understanding of the medallion architecture
• Solid grasp of data lakehouse principles, data modeling, and data governance concepts
• Experience building and maintaining CI/CD pipelines (e.g., GitLab CI) and familiarity with IaC
• Experience with cloud platforms, specifically AWS or comparable providers
• Experience with event-driven architectures or streaming platforms such as Kafka
• Proven track record of deploying, monitoring, and maintaining data pipelines in production environments

About the Company

KSB is a leading global supplier of pumps, valves, and related services. Founded in 1871, the company provides high-efficiency products for applications ranging from building services and industry to water transport and power plant processes. With a presence on all continents, KSB is committed to innovation, sustainability, and providing world-class service through its extensive global network.