Senior Lead Data Engineer (w/m/d)

Bayer; Berlin; Vor Ort; EUR 110.000 - 139.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Hybrid/part-time options

Company daycare centers

Childcare support

Learning and development

Zusammenfassung

Bayer in Berlin is seeking a Senior Lead Data Engineer to design and evolve scalable data architectures powering real-world evidence generation across GME. You will shape technical standards and lead cross-functional data teams to deliver AI-ready data platforms.

Ideal candidates hold a PhD or MSc in a data-related field, have deep Python and SQL expertise, and experience building production-grade data products, feature stores, and model serving infrastructure in cloud environments.

Qualifikationen

• PhD or MSc in a data-related field.
• Extensive experience in Data Engineering / Platform Engineering.
• Experience in healthcare, life sciences, or pharma is advantageous.

Aufgaben

• Lead design and evolution of scalable data pipelines, data products, and engineering frameworks.
• Develop cloud-based solutions improving reliability, scalability, security, and speed to insight.
• Establish ingestion, transformation, orchestration, monitoring, metadata, version control, and documentation standards.
• Drive governance, observability, and quality controls in data and platform development.
• Mentor Data Engineers and cross-functional technical teams.
• Collaborate with Data Scientists, Product Teams, IT, and external collaborators to translate challenges into platform capabilities.
• Shape platform roadmaps and AI-enabled engineering initiatives.

Kenntnisse

Python

SQL

ML Engineering

Data Platforms

Data Modeling

Data Quality

Validation Frameworks

Team Mentoring

English fluency

Ausbildung

PhD or MSc in Data Engineering or related field

Tools

Model Serving

Workflow Orchestration

Cloud Platforms

Data Catalogs

Jobbeschreibung

Senior Lead Data Engineer

PURPOSE: The Senior Lead Data Engineer within RWDS&AI leads the design and evolution of scalable data engineering architecture, platforms, and operating standards that power real‑world evidence (RWE) generation across Global Medical & Evidence. The role combines deep engineering expertise with strategic technical leadership, shaping the technical backbone that connects diverse real‑world data (RWD) sources to secure, reproducible, and AI/ML‑ready analytical environments supporting product commercialization, lifecycle management, and decision‑ready evidence. The role partners cross‑functionally across GME, R&D Data Science, Clinical Development, HEOR, Market Access, and IT to accelerate evidence generation through modern cloud‑based data capabilities, reusable data products, automation, and responsible AI‑enabled engineering workflows.

Your Tasks And Responsibilities

• Lead the design, architecture, and continuous evolution of scalable data pipelines, data products, and engineering frameworks that transform complex real‑world data into trusted, reusable, and AI/ML‑ready assets for evidence generation and decision‑making
• Develop and implement robust, cloud‑based engineering solutions that improve reliability, scalability, security, transparency, and speed‑to‑insight across analytical and AI/ML use cases
• Establish and advance engineering standards for data ingestion, transformation, orchestration, monitoring, metadata management, version control, and documentation, creating reusable capabilities that support long‑term business and scientific needs
• Drive the responsible adoption of AI‑enabled engineering practices by embedding governance, validation, observability, and quality controls into data and platform development processes
• Build and maintain quality‑by‑design frameworks that ensure data integrity, traceability, privacy, compliance, and operational excellence throughout the entire data lifecycle
• Provide technical leadership and mentorship to Data Engineers and cross‑functional technical teams, fostering a culture of collaboration, continuous learning, innovation, and engineering excellence
• Partner closely with Data Scientists, Product Teams, Global Medical & Evidence colleagues, IT, and external collaborators to translate scientific and business challenges into scalable platform capabilities, reusable data products, and AI‑enabled solutions
• Contribute to the strategic direction of RWDS&AI by shaping platform roadmaps, engineering best practices, AI/ML‑enablement initiatives, and next‑generation data capabilities, while representing the organization in internal and external technical communities

Who You Are

• You hold a PhD (preferred) or MSc in Data Engineering, Computer Science, Software Engineering, Data Science, Bioinformatics, Mathematics, Statistics, Physics, Engineering, Computational Science, or a related field
• You bring extensive professional experience in Data Engineering, Software Engineering, Platform Engineering, Analytics Engineering, or a similar technical discipline. Experience in healthcare, life sciences, or the pharmaceutical industry is a strong advantage
• You have successfully led complex engineering initiatives, designed and scaled modern data platforms, and supported the growth of technical teams through mentoring and knowledge sharing
• You possess deep expertise in Real‑World Data (RWD) and can design scalable, reusable data solutions, define technical standards, evaluate data feasibility, and support complex research and AI/ML use cases
• You are highly proficient in Python and SQL and have a proven ability to build maintainable, scalable, and production‑ready engineering solutions that drive business value
• You bring advanced expertise in Machine Learning Engineering, Software Engineering, and AI‑enabled Platforms, including ML‑ready data products, feature stores, model serving infrastructure, workflow orchestration, and production‑grade analytics environments
• You have strong experience with Data Science Infrastructure, Data Modeling, Ontologies, Data Quality, and Validation Frameworks, ensuring reproducibility, interoperability, security, compliance, and scalability across modern cloud environments
• You are a collaborative and strategic thinker with strong communication, stakeholder management, systems thinking, and problem‑solving skills, and you communicate fluently in English, both written and spoken

What We Offer

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

• We ensure your financial stability with a competitive salary between 109.800€ and 138.500€ per year (full‑time) plus a variable component and a global equity‑based cash plan. Your compensation is based on your qualifications, skills, and professional experience.
• 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 in the game … …?? …the ? … ... for? ... ? … The place…? ... Wireless ... ... ... ... ... ? ... (???)... This is the bigger version? or ??? blah. (not sure)..

Be You. Be Bayer.

YOUR APPLICATION

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 : Berlin : Berlin

Division: Pharmaceuticals

Reference Code: 877431