Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Lengerich
- Working Model
- Onsite
Job Summary
In this role, you will develop data integrations and models in SAP Datasphere, design ETL processes, enhance data quality, and collaborate closely with business departments to implement BI solutions.
Job Technologies
Your role in the team
- You are responsible for data integration and modeling in SAP Datasphere, connecting source systems such as SAP S/4HANA, SAP ECC, databases, and interfaces, building stable loading pipelines, and developing ETL/ELT processes including transformation logic, delta handling, error handling, and monitoring.
- You develop data models (views, analytic models, facts, and dimensions) according to defined standards, ensuring data quality, performance, and traceability through data lineage and thorough documentation.
- You develop stories, analytic applications, and planning applications in SAP Analytics Cloud, implement a consistent look & feel, consistently use standard components, and transfer solutions to the production environment after testing and approval with the specialist departments.
- You gather technical requirements from the business units, evaluate and refine them, and translate them into implementable data products — advising on feasibility, effort, and sensible solutions, and coordinating with related IT roles.
- You are responsible for the operation and further development of the platform: you fix bugs, maintain existing data models and reports, optimize runtimes and resource consumption, and actively contribute to standards, governance, and documentation — with a future perspective also involving AI and advanced analytics use cases as well as scripts in SQL, Python, or R.
- You take responsibility for defined topics and work packages in projects, provide technical guidance to both juniors and working students, review data models and dashboards, and promote self-service competence within the departments through training and guidelines.
This text has been machine translated. Show original
Our expectations of you
Education
- You have a completed degree in (Business) Informatics, Computer Science, Statistics, Data Analytics, or a comparable qualification, and you bring extensive professional experience in the development of BI and data solutions with a focus on data integration, ETL, and dashboard development.
Qualifications
- You have experience in developing data models and reports on a cloud-based BI platform - ideally with SAP Datasphere and SAP Analytics Cloud.
- You communicate fluently in German and English, are proficient in MS Office, and have an understanding of data quality, authorization concepts, and governance in a corporate environment.
- Ideally, you have some initial exposure to AI and Advanced Analytics topics — SAP certifications in the SAP Datasphere and/or SAP Analytics Cloud environment, as well as further training in agile methods (for example, Professional Scrum Master), are a plus.
Experience
- You have initial experience working with business units — from requirements gathering to translating them into actionable data products.
This text has been machine translated. Show original
What we offer
- Participate in the benefits of a company focused on New Work methodologies – from meaningful product philosophy, through agile working methods, to modern Mobile Working Solutions.
- Designers have the right of way - if you enjoy a high degree of autonomy, like to contribute innovative ideas and drive them forward, and have a broad perspective - then you are exactly right with us.
- Our proven onboarding concept will help you confidently excel in your new role from day one.
This text has been machine translated. Show original
Topics You Will Work On
Job Locations
About Your Employer
Bischof + Klein SE & Co. KG
Die Bischof + Klein SE & Co. KG, located in Lengerich im Tecklenburger Land, is a medium-sized manufacturer of flexible plastic and plastic composite packaging as well as technical films owned by a family.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Senior Data Engineer
- Location
- Lengerich
- Working Model
- Onsite
- Diversity
- Open for all genders
