Top Data & Analytics Jobs

Designs and leads enterprise master data management, governance, architecture, and data platform strategy. Responsibilities include developing data models, metadata, quality standards, access controls, scalable pipelines, source integrations, and secure data systems. The role establishes governance processes, supports analytics and business decision-making, and drives data literacy and organizational change. Candidates need extensive data governance or architecture experience, leadership background, and expertise in Databricks, Spark, Lakehouse architectures, data quality, security, and compliance.

Designs and advances the enterprise data platform architecture to support business goals and IT strategy. Responsibilities include evaluating technologies, documenting architecture and interfaces, advising teams, enforcing architecture and data-governance standards, and collaborating with architects, delivery managers, and partners on implementation and deployment. The role requires experience with modern data platforms, cloud architectures, integration patterns, data lakes, warehouses, ETL/ELT pipelines, and orchestration frameworks, along with German and English fluency.

Maintains Baan databases, master files, label databases, prices, costs, part numbers, bills of materials, routings, and related manufacturing data. Audits database accuracy, documents changes, supports engineering changes and label updates, assists with quality procedures, and trains functional teams on Baan and associated databases. The role requires strong attention to detail, independent prioritization, database knowledge, and familiarity with manufacturing processes and ISO/IATF systems.

Design, build, and maintain Databricks-based data models, ETL processes, and pipelines using Python/PySpark and DLT. Orchestrate workflows with Azure Data Factory and CDC, optimize performance, support deployments and DevOps, mentor business teams, and collaborate cross-functionally to deliver scalable analytics solutions.

Maintain and govern enterprise master data by defining standards, integrating systems, supporting SAP MDM/MDG users, translating business needs into technical designs, training users, coordinating consultants, and improving data lifecycle and system configurations.

Develop and maintain data pipelines and BI solutions for smart factory initiatives. Design data models, document data warehouses, build KPI dashboards, support ad-hoc analysis, and collaborate with stakeholders to enable data-driven decisions.

Design, build, and operate a centralized Intune-focused data platform integrating multiple sources (Entra ID, Matrix42, Nexthink). Develop ETL pipelines, SQL data models, Power BI dashboards, automate extraction via Graph API and scripts, monitor device compliance, drive remediation with IT teams, provide 2nd/3rd level support and participate in on-call rotation.

Design, implement, and operate a centralized Intune data warehouse and compliance monitoring service. Integrate multiple sources, build and maintain ETL/ELT pipelines, model data in SQL, automate using Graph API with PowerShell/Python, and create governed Power BI dashboards. Drive compliance governance, lead remediation activities, establish data quality and governance, act as technical lead, and participate in on-call rotation.

Maintain accuracy, governance, and lifecycle of enterprise master data in SAP environments. Define data standards, map system integrations, support global SAP MDG/MDM users, collaborate with Supply Chain/Finance/IT, design technical solutions, provide training, coordinate consultants, and ensure data quality and system controls.

Design, implement, optimize and monitor data ingestion, storage, recovery and delivery systems. Provide data management, BI/reporting support and data architecture expertise across the organization.