Mining jobs in Germany

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Lead Software Engineer - Process Intelligence (all genders)

As a Lead Software Engineer for Process Intelligence, you will take ownership of both the strategic and technical aspects of process intelligence. You will drive the process intelligence roadmap, align initiatives with business priorities, and ensure the delivery of scalable, high‑impact solutions that transform how the organization operates.

Beyond providing technical expertise, you will serve as the strategic partner for business stakeholders, shaping domain roadmaps, prioritizing opportunities, and ensuring adoption of insights and solutions. You will guide a team of engineers, analysts, and business experts to deliver sustainable process improvements and measurable business outcomes.

• Act as the domain thought leader, bringing deep process knowledge and innovative perspectives to business stakeholders
• Build strong stakeholder engagement and act as the primary point of contact for domain leadership, ensuring adoption and measurable impact of process intelligence
• Define and own the process intelligence roadmap for a specific business domain (e.g., Procurement), aligning with enterprise strategy and business priorities
• Gather and analyze business requirements, translating them into technical designs and actionable specifications
• Provide technical expertise and support to business stakeholders, ensuring process intelligence insights drive measurable improvements such as cost reduction, efficiency gains, and informed decision‑making. Communicate findings effectively through compelling visual narratives
• Oversee and lead the design, development, and deployment of process intelligence, task mining, and execution solutions, ensuring scalability and maintainability
• Develop, maintain, and optimize data pipelines and models to enable seamless data integration and high‑quality insights
• Leverage AI‑driven techniques (predictive analytics, NLP, ML, LLMs, copilots) to enhance automation, analytics, and decision‑making
• Provide guidance, mentoring, and technical leadership to engineers and analysts, fostering shared ownership and strong delivery capabilities

• Master’s degree in Computer Science, Information Systems, Business Administration, Mathematics, or a related field
• Several years of experience in process intelligence, technology consulting, or software implementation, with a strong focus on data engineering, process mining, and automation
• Business Domain Knowledge: Hands‑on experience working in at least one business domain (e.g., Finance, Procurement, Supply Chain, HR, or Customer Service), with a deep understanding of process workflows, KPIs, and optimization opportunities
• Process Intellgence Expertise: Experience with leading process Intelligence platforms (Celonis), including the design and implementation of data models, dashboards, execution apps, and automation workflows
• Data Engineering & Integration: Strong background in developing, maintaining, and optimizing data pipelines to enable seamless data extraction, transformation, and integration for process mining analysis
• Process Mining Data Models: Proficiency in Multi‑Event Log modeling and Object‑Centric Process Mining (OCPM) to enhance process insights
• Hands‑on experience with cloud platforms and Databricks for scalable data processing, big data analytics, and machine learning integration into process mining solutions
• Expertise in AI‑driven process mining techniques, including predictive analytics, natural language processing (NLP), and machine learning
• Fluency in English; additional languages are a plus

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

• We ensure your financial stability through a competitive compensation package, consisting of an attractive base pay and our annual bonus. In addition, managers can recognize special contributions by granting an individual performance award
• Whether it’s hybrid work models or part‑time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you
• Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more
• We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs
• We promote health awareness and opportunities for self‑care through various measures, such as free health checks with the company doctor
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work

Be You. Be Bayer.

#LI-AMSEMEA

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Location: Germany : North Rhine Westfalia : Leverkusen

Division: Enabling Functions

Reference Code:861568