Your main responsibilities:
As a Master Data Automation Developer, you will work on innovative solutions that enhance data quality, streamline operations, and reduce manual effort within BASF's planning systems and digital infrastructure. • Develop, maintain, and continuously improve automated solutions for planning-relevant master data across SAP and OMP systems, enhancing data quality, process reliability, and operational efficiency. • Design and implement AI-enabled data quality capabilities, including rules, validations, monitoring, automated checks, inconsistency detection, and recommendations for corrective action. • Analyze, troubleshoot, and resolve defects and incidents in master data applications and mass maintenance tools, conducting root cause analysis and driving continuous improvements. • Operate, maintain, and enhance technical platforms and infrastructure components for master data management, including scripts and utilities that automate recurring operational tasks. • Apply best practices in software development, automation, data quality, and system monitoring to ensure stable, scalable, and efficient solutions. • Collaborate with business experts, developers, and product teams to translate business requirements into scalable technical solutions.
Educational Background:
- Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, Data Engineering, or a related technical field.
- 3-5 years of relevant professional experience in software, data, or platform engineering roles.
Technical Skills & Experience:
• Basic programming experience in ABAP is preferred. Alternatively, experience in Python, Go, Rust, C++, C#, or comparable programming languages. • Basic understanding of SAP master data and data quality; exposure to SAP S/4HANA is beneficial. • Basic understanding of enterprise systems, data management, and software development principles. • Exposure to SAP integration concepts such as REST APIs, RFCs, IDocs, or similar interface technologies is advantageous. • Experience with version control systems such as Git is a plus. • Ability to develop scripts, utilities, or small applications to automate operational and infrastructure-related tasks. • Exposure to DevOps, CI/CD pipelines, monitoring tools, or infrastructure automation is advantageous. • Knowledge of Supply Chain Planning processes (e.g., demand planning, supply planning, S&OP, inventory management) is considered an advantage. • Understanding of planning-relevant master data and its role in enabling effective Supply Chain Planning and decision-making is required. • Ability to analyze technical issues and support incident resolution in collaboration with global teams.
General Capabilities:
• Strong analytical and problem-solving mindset. • Ability to learn new technologies and business processes quickly. • Structured and detail-oriented way of working with a focus on data quality and reliability. • Good communication skills and ability to collaborate in an international and multicultural environment. • Proactive attitude with a willingness to take ownership of assigned topics. • Strong team player with a product-oriented mindset. • Fluent English communication skills, both written and spoken.
