Data Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• As a Data Engineer, you will take charge of the design, development, and operation of our enterprise data platform.

• Ensure the integration, governance, and AI-readiness of data, establishing a foundation for all intelligent applications and insights within the organization.

• Design and manage the enterprise data platform: Create a scalable Microsoft Fabric data infrastructure utilizing a medallion lakehouse architecture (Bronze, Silver, or Gold) with Delta Lake.

• Develop and maintain data pipelines: Build resilient batch and streaming ETL/ELT pipelines featuring schema evolution, automated transformation, and robust data quality validation.

• Integrate enterprise systems: Connect to data sources such as SharePoint, Salesforce, Microsoft 365, Azure SQL, ERP/CRM systems, file repositories, and REST APIs.

• Ensure optimal performance and reliability: Optimize storage and processing for both structured and unstructured data, including monitoring, alerting, and ensuring operational stability.

• Construct semantic data layers and governance: Create a taxonomy and metadata standards, along with semantic models, data cataloging, and lineage tracking.

• Implement access control, compliance, and security measures.

• Promote AI readiness: Prepare data for AI use cases through document chunking, embedding pipelines, and vector-ready datasets for RAG.

• Provide knowledge services and collaborate: Develop reusable APIs and data services for AI applications while working cross-functionally with AI, analytics, and business teams (#OneTeam).

⛳️ Requirements

• 7+ years of experience in data engineering, including 3+ years in building enterprise-scale cloud platforms, with a track record in greenfield architecture and AI/ML data preparation.

• Proficient in Python and SQL, with hands-on experience in Spark, Microsoft Fabric, the Azure Data Platform, and Delta Lake.

• Experienced in integrating enterprise systems (e.g., Salesforce, SharePoint, M365, Azure SQL/Data Lake) and working with REST APIs and modern data architectures.

• Strong understanding of metadata management, master data management, and semantic modeling.

• Relevant certifications in Azure/Fabric and experience with Purview, Synapse, Data Mesh, graph/vector databases, Azure AI Search, or event streaming.

• A growth-oriented mindset, proactive approach, and a passion for innovation, execution excellence, and crafting impactful, scalable data solutions.

• Excellent English communication skills are essential.

🏝️ Benefits

• Flexible work arrangements: While we value collaboration in the office as #Oneteam, we also appreciate the freedom to work from various locations and manage our own schedules.

• Prioritize your well-being: We provide generous vacation time and extensive health benefits plans, including pension options.

• Plan for your future: Career planning is unique for everyone. Collaborate with your Line Manager to create a career growth plan that aligns with your goals.

• Reduce your carbon footprint: Our offices are centrally located and easily accessible via public transportation, with many offering public transit reimbursement or perks such as bike leasing.

• Thrive in a high-impact working environment: We enjoy flat hierarchies and streamlined decision-making processes.

• Enjoy corporate discounts across a variety of brands and products.