Data Engineer Consultant building and maintaining enriched data infrastructure for analytical thinking at Northwest Permanente. Involves data collection, cleansing, and transformation for business intelligence.
About the role
- Senior Professional Consultant leading architecture and design for SAP BW and SAC solutions at Freudenberg. Collaborating with stakeholders and optimizing performance of data landscapes.
Responsibilities
- Lead architecture and design for SAP BW and SAC solutions, ensuring alignment with enterprise data strategy.
- Develop and optimize data models, ETL processes, and integration patterns within SAP BW.
- Configure and manage SAC for planning, reporting, and predictive analytics use cases.
- Ensure data governance, security, and compliance across SAP data landscapes.
- Collaborate with business stakeholders to translate requirements into technical solutions.
- Enable AI/ML integration with SAP Analytics Cloud for advanced insights.
- Monitor and optimize performance of BW queries and SAC dashboards.
- Provide technical leadership and guidance to project teams.
- Support roadmap planning for SAP data and analytics initiatives.
- Contribute to best practices, templates, and accelerators for SAP BW and SAC.
- Assist in tool evaluations and proof-of-concept implementations.
- Mentor junior consultants and foster knowledge sharing.
- Drive continuous improvement in data architecture and analytics processes.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field
- SAP certifications in BW/4HANA or SAC are highly desirable.
- 5–8+ years of experience in SAP BW and SAC implementations.
- Proven track record in designing and delivering enterprise-scale data solutions.
- Hands-on experience with data modeling, ETL, and reporting in SAP BW.
- Experience integrating SAC with SAP and non-SAP data sources.
- Specialized Knowledge in SAP BW/4HANA architecture, modeling, and performance optimization.
- SAP Analytics Cloud configuration, story building, and predictive features.
- Data governance and security concepts within SAP environments.
- Knowledge of AI/ML concepts and their application in analytics solutions.
- Professional proficiency in English (required). German or additional languages are advantageous.
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Vice President - Business, Data Architect role at TD Securities focusing on business data architecture and analytics capabilities. Collaborate with stakeholders to define and govern data models and ensure alignment with strategy.
Staff Data Engineer at Headspace building privacy - first data platforms for mental health support. Leading data engineering strategies and mentoring team members to enhance data - driven decision making.
Senior Data Engineer building and implementing data pipelines at Headspace. Collaborating with analytics and data science teams to enhance personalized mental health support.
Data Engineering Intern working on data pipelines and infrastructure in fast - growing fintech. Collaborating with data engineers, learning best practices and developing data solutions.
Senior Software Engineer building and maintaining data infrastructure for Gusto. Collaborating with Data Science and Business Intelligence teams to achieve their goals.
Data Engineer building and maintaining scalable data pipelines for AI Search Infrastructure at You.com. Collaborating across teams to ensure data quality and enable AI capabilities.
Data Engineer developing and managing technology - based data solutions for clients in different industries in Greece. Participating in software development lifecycle within Agile team setting.
Data Architect leading design and governance of high - quality data architectures for clients. Collaborating with engineering teams and stakeholders to transform business challenges into scalable data solutions.
Data Engineer supporting vehicle buying and selling solutions through integration pipelines. Collaborating with teams to build digital vehicle platforms and optimize data processes in São Paulo.