- Contribute to the design and development of 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 data solutions
- Support data modeling, data integration, and transformation processes for analytics and reporting
- Drive automation, monitoring, and CI/CD improvements to ensure operational excellence
- Collaborate across teams, acting as a technical interface between the data platform and engineering, analytics, and business stakeholders.
- Contribute to architecture decisions and long-term data platform strategy
Your Profile
- Outstanding programming experience, preferably in Python; ability to write clean, testable, production-grade code; able 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); familiarity with IaC and deployment
- Cloud Platforms: Experience with AWS or comparable cloud providers; familiarity with Databricks as a managed Lakehouse platform
- Experience with event-driven architectures or streaming platforms (e.g. Kafka)
- Proven track record deploying, monitoring, and maintaining data pipelines and services in
production environments; experience with testing practices - Able to work autonomously and take ownership of tasks end-to-end
- Clear and concise communicator — comfortable working across engineering and data teams
Education & experieance
- Bachelor's degree in Software Engineering, Mathematics, Physics, or a related field
- 3 years of project/coding experience in a company
- Cloud experience:
- Databricks, AWS/Azure
- Staging, testing, Git, pipelines
- Distributed systems, data pipelines
- Python experience:
- Versioning, package management, requirements/environments
- Change data capture
- Data engineering experience:
- SQL
- Partitioning
- Data structures (tables, relations)
- Lakehouse
Skills Required
- Outstanding programming experience, preferably in Python; ability to write clean, testable, production-grade code; able to write clean, testable, production-grade code
- Strong SQL skills and familiarity with structured and semi-structured data formats
- 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); familiarity with IaC and deployment
- Experience with event-driven architectures or streaming platforms (e.g. Kafka)
- Proven track record deploying, monitoring, and maintaining data pipelines and services in production environments; experience with testing practices
- Bachelor's degree in Software Engineering, Mathematics, Physics, or a related field
- 3 years of project/coding experience in a company
KSB Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KSB Company and has not been reviewed or approved by KSB Company.
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Fair & Transparent Compensation — Pay is considered fair or good in multiple contexts, especially where metal‑industry collective agreements apply. Consistent, on‑time wages and structured tariff pay bolster perceptions of fairness in covered roles.
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Leave & Time Off Breadth — Paid time off is abundant in the United States, with holiday entitlements highlighted as a strong point. This breadth of time off stands out within the overall package.
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Retirement Support — Company pension options and profit sharing are available in Germany, alongside defined benefit and defined contribution arrangements at group level. These programs indicate structured retirement support where they apply.
KSB Company Insights
What We Do
ABOUT KSB KSB is one of the world’s leading suppliers of pumps, valves and related systems. KSB combines innovative technology and excellent service to provide intelligent solutions. This approach means that KSB employees are close to customers on all continents, providing them with pumps, valves and systems for almost all applications involving the transportation of liquids. A comprehensive range of services rounds off this customer-focused portfolio. KSB has been growing continuously since it was founded in 1871. Today the Group has a presence on all continents with its own sales and marketing companies, manufacturing facilities and service operations. More than 15,600 employees generate annual consolidated sales revenue of two billion euros. KSB WORLDWIDE With production plants, sales offices and agents in more than 100 countries, KSB is close to its customers throughout the world. Direct contact with local KSB specialists makes it easier for companies to implement their projects quickly, flexibly and at a high level of quality. KSB IN THE MEDIA www.facebook.com/KSB.Company www.twitter.com/KSBcompany www.youtube.com/user/ksbcompany https://www.instagram.com/ksbcompany/ FROM A SINGLE SOURCE: PUMPS AND VALVES, SERVICES AND SYSTEMS: • Pumps and valves for industrial applications • Comprehensive KSB services and original spare parts • Pumps, valves and systems for building services • Automation and drive solutions • Pumps, valves and systems for renewable energy applications • Slurry pumps for mining, suction dredgers and the oil sand industry • Pumps, valves and systems for water applications • Pumps, valves and systems for waste water applications • Pumps, valves and systems for energy applications
