Job
- Level
- Experienced
- Location
- Leverkusen
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Technologies
Your role in the team
- You design, develop, and maintain robust data pipelines as part of your role, facilitating the collection, transformation, and storage of data from various internal and external sources.
- Creating a robust data model for flexible data analysis in our analysis platform is your responsibility.
- You collaborate with cross-functional teams to understand data requirements and ensure that the data architecture aligns with business goals.
- Monitoring and optimizing data systems for performance, reliability, and scalability is part of your role, ensuring high data availability.
- You implement data quality checks and validation processes to maintain data integrity and accuracy.
- Developing and maintaining documentation for data models, data flows, and ETL processes, as well as general data governance initiatives, is your responsibility to ensure clarity and knowledge sharing.
- Troubleshooting and resolving data-related issues is part of your role, providing support to users and stakeholders as needed.
- Staying updated on emerging technologies and best practices in data engineering is key to continuously enhancing data processes and systems in your position.
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Our expectations of you
Education
- You hold a Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Alternatively, you have several years of relevant experience with ongoing education in the field. A Master's degree is a plus.
Qualifications
- You have knowledge of data analytics concepts, statistical analysis, and are skilled in data visualization using tools like Power BI to create impactful reports and dashboards.
- You possess strong analytical and problem-solving skills, capable of analyzing complex data sets and collaborating with data analysts to translate business needs into technical solutions.
- You have excellent communication skills in both German and English, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Experience
- You have several years of experience in data engineering or a related field, with a strong focus on data pipeline development, data warehousing, and data management.
- Experience working within the OTC or FMCG environment is a plus.
- You are proficient in data modeling, programming (e.g., Python, Java, Scala), SQL, and have experience with both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases.
- You are experienced with data warehousing (e.g., AWS Redshift, Google BigQuery), ETL tools (e.g., Apache Airflow, Talend), and cloud platforms (e.g., AWS, Azure, Google Cloud), and have experience designing multidimensional models (e.g., PowerBI, MS Analysis Services).
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Bayer AG
Bayer AG is a globally active company with core competencies in the life science fields of health and nutrition. We develop our products and services for the benefit of people and the planet, and are committed to addressing the global challenges of a constantly growing and aging world population.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Data Engineer
- Location
- Leverkusen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
