Role Description We are looking for an experienced SAP Warehouse Management (WM)/Extended Warehouse Management (EWM) Functional Consultant with strong data migration experience to support a global SAP transformation program within the life sciences sector. In this role, you will serve as the global focal point for Warehouse Management data objects during migration, partnering with functional, technical, and business teams to ensure successful data readiness and migration execution. - Act as the global focal point for SAP WM and EWM data objects in scope for migration, collaborating with Global Template BDOs, Functional Streams, Data Migration Developers, and Legacy Experts. - Gather and validate functional specifications for data migration tools. - Provide test data sets for migration tool testing and validation. - Offer guidance on SAP ECC standard data extractions and data structures where applicable. - Own and maintain global templates and scripts (e.g., FSs (DDT), SATs, DVSs) including validation and verification approaches and authorization designs. - Review and approve System Acceptance Testing (SAT) for data migration tools. - Advise business teams on data readiness and cleansing activities based on technical and functional requirements. - Review and confirm defect resolution testing related to global template migration tool design. - Conduct knowledge transfer sessions with deployment and local Functional Data Owners. Qualifications - Minimum 5 years of hands-on SAP WM/EWM experience. - Proven data migration experience in large-scale or global SAP programs. - Strong knowledge of SAP ECC data models, especially within the PM module. - Experience collaborating with cross-functional and technical teams in a global template environment. - Excellent communication, coordination, and stakeholder management skills. Benefits - Workflex: Enjoy 25 days of flexibility to work from your preferred global location. - Flexible Time Off: Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances. - Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement. - Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise. - Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services. - Unity Scheme: Benefit from loyalty rewards starting after 3 years of service. - Referral Program: Earn a referral fee for every successfully hired referee. - Local Benefits: Access a range of country-specific benefits tailored to your location. - People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. - Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.

Role Description We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines. This role will play a critical part in ensuring the integrity, scalability, and performance of our data processing and products. - Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization. - Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements. - Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources. - Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform. - Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput. - Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data. - Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. - Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing. - Training: Train and collaborate with teammates effectively in data engineering best practices. - Technical Influence/Leadership: Recommend policy changes and establish department-wide procedures. Use extensive experience and knowledge to resolve complex problems. - Monitor and manage production environment to deliver data within defined SLAs. Qualifications - 5+ years of experience building, maintaining, and orchestrating scalable data pipelines. - 3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase. - Experience applying a variety of integration patterns for different use cases. - Experience in backend software development to contribute to distributed computing development and data technologies. - Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries. - Experience in data modeling for OLTP and OLAP applications. - Experience with Cloud platforms such as Amazon AWS. - Familiarity with workflow management tools (Airflow preferred). - Familiarity with cloud-based data warehouses (Amazon Redshift preferred). - Exceptional problem-solving and analytical skills. - Experience working with sensitive data (e.g., PHI / PII) & security best practices. - Familiarity with data governance practices and principles. Requirements - Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). - Proficiency in Analytical SQL and experience working with massive parallel processing (MPP) databases (e.g., Redshift, BigQuery, Snowflake). - Proficiency in programming languages such as Python, Java, or Scala. - Knowledge of data modeling techniques (3NF) and tools (e.g., ER/Studio, ERwin). - Software Engineering Mindset: Apply best practices to write elegant, maintainable code and understand automated testing concepts. - Familiarity with business intelligence tools and environments. - Familiarity with big data technologies (e.g., Lambda, Iceberg or Delta Lake, Spark, or Kafka). - Excellent communication and collaboration skills, both written and verbal. - Self-Directed: Leading projects and tasks effectively with cross-functional stakeholders with minimal guidance. Benefits - Competitive salary with generous annual cash bonus. - Equity grants. - Remote first work from home culture. - Flexible Time Off to help you rest, recharge, and connect with loved ones. - Generous parental leave. - Health, dental, and vision insurance (and above market employer contributions). - 401k retirement savings plan. - Lifestyle Spending Account (LSA). - Mental Health Support Solutions. - ...and more!

• Design, build, and operate FSM's AWS infrastructure: Lambda, API Gateway, SQS, RDS, Cognito, Secrets Manager, CloudWatch. • Own infrastructure-as-code (CloudFormation), CI/CD (GitHub Actions), and our multi-tenant security model — IAM roles, tenant isolation, secrets management, auditability. • Maintain FSM's security and compliance posture — least-privilege IAM, secrets management, and ongoing SOC 2 / Vanta controls, checks, and audit readiness. • Build and maintain data pipelines and the S3-based data platform feeding our agents and BI (DBT, AWS QuickSight). • Design and code intelligent agents that act on financial data through APIs and natural-language interfaces, plugging into FSM's orchestration layer. • Lead discovery sessions with client accounting, finance, and operations teams to understand their workflows, data challenges, and automation needs. • Create comprehensive documentation of automations, agent behaviors, infrastructure, and client-specific implementations.

• Choose what works well for you in terms of when, where, and how you work. • Match with work that fits your skills and access to various opportunities across different industries and companies. • Gain experience and develop various skills as part of the team.