Managed Services Engineer (Data)
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• We are seeking an experienced Data Engineer to join our managed services team, where you'll play a critical role in supporting and maintaining data platforms for our diverse client portfolio. This position offers the opportunity to work with cutting-edge cloud technologies while solving complex data challenges across multiple industries. • Cloud Platforms: Strong experience with Microsoft Azure services (Data Factory, Synapse, Azure SQL, Storage Accounts, etc.) • Cloud Platforms • Microsoft Fabric: Hands-on experience with Microsoft Fabric components and capabilities • Microsoft Fabric • Infrastructure as Code: Proficiency in Terraform for infrastructure provisioning and management is a plus • Infrastructure as Code • Data Engineering: 5+ years of experience building and maintaining data pipelines • Data Engineering • Programming: Strong skills in Python, SQL, and PowerShell/Bash scripting • Programming • On-Premise Systems: Experience with traditional data platforms and hybrid cloud architectures • On-Premise Systems • Platform Expertise • Platform Expertise • Azure Data Services (Data Factory, Synapse Analytics, Databricks, Event Hubs) • Microsoft Fabric • Database technologies (SQL Server, PostgreSQL, NoSQL databases) • Data integration tools and methodologies • Multi-cloud environments (AWS, GCP experience is a plus) • Strong problem-solving and analytical thinking abilities • Excellent communication skills for client-facing interactions • Experience working in a managed services or consulting environment • Ability to manage multiple client projects simultaneously • Strong documentation and knowledge-sharing practices • Bachelor's degree in Computer Science, Engineering, or related field • Azure certifications (Azure Fabric/Data Engineer Associate, Azure Solutions Architect) • Experience with containerization technologies (Docker, Kubernetes) • Knowledge of data governance and compliance frameworks • Familiarity with monitoring and observability tools (Azure Monitor, Grafana, etc.) • Experience with agile development methodologies
Responsibilities
• Data Platform Management • Support and maintain data platforms for multiple clients across Azure, Microsoft Fabric, and other cloud environments • Manage and optimize on-premise data platform solutions • Ensure high availability, performance, and security of client data infrastructure • Monitor platform health and proactively address potential issues • Data Pipeline Development • Design, build, and maintain robust data pipelines for ETL/ELT processes • Implement real-time and batch data processing solutions • Optimize data flows for performance and cost-effectiveness • Troubleshoot and resolve pipeline issues to ensure reliable data delivery • Infrastructure as Code • Collaborate With DevOps to create and maintain infrastructure using Terraform for scalable, repeatable deployments • Manage cloud resources and infrastructure provisioning across multiple client environments • Implement infrastructure best practices for security, monitoring, and disaster recovery • Collaborate with DevOps to establish CI/CD pipelines for data infrastructure • Client Support & Collaboration • Work directly with clients to understand their data requirements and business objectives • Provide technical expertise and recommendations for data architecture improvements • Document solutions and maintain comprehensive technical documentation • Participate in client meetings and technical reviews
Benefits
• Stimulating working environments • Unique career path • International mobility • Internal R&D projects • Knowledge sharing • Personalized training • Entrepreneurship & intrapreneurship • For more on our team culture and benefits, check out our careers page.