The Managed Services Team Lead is responsible for leading and mentoring a team of technical professionals to deliver exceptional managed services to clients. This role requires a balance of some technical experience, particularly around Azure and Microsofts data & analytics tools, as well as proven people management and customer service skills. The ideal candidate will have a solid background in managing Service Level Agreements (SLAs) and ensuring the team meets or exceeds customer expectations. The Managed Services Team Lead will collaborate closely with stakeholders to enhance service delivery, streamline processes, and foster a culture of continuous improvement.. We support a wide range of data & analytics solutions, the issues your team encounter can be so diverse, if you are as passionate about Microsoft Data Analytics and Azure as we are, then the Managed Services Team might be the place for you!. We'll invest heavily in your ongoing development of management skills and technical skills through access to formal training, in-house development sessions and mentoring. We cover the cost of study for Leadership & Microsoft certification exams to make sure you reach your full potential, and you will have personal development time allocated each week to ensure you have time to learn.. Key Responsibilities:. Team Leadership and People Management. Lead, mentor, and develop a team of Managed Service Data Engineers.. Set clear objectives, provide regular feedback, and conduct performance reviews to support career growth and development.. Foster a collaborative and supportive team culture that emphasizes accountability, learning, and innovation.. Customer Service Excellence. Serve as the primary point of contact for client escalations and manage client expectations effectively.. Build and maintain strong client relationships to understand their needs and ensure consistent, high-quality service delivery.. Proactively identify and address areas for service improvement to enhance the customer experience.. Data Analytics and Technical Experience. Oversee tasks, ensuring the team is proficient in areas such as data pipeline management, monitoring, performance tuning, and troubleshooting.. Act as a technical resource for complex data issues and guide the team in resolving technical challenges.. Stay updated on industry best practices and new technologies to ensure the teams skills and knowledge remain current.. Service Level Agreement (SLA) Management. Manage and monitor SLAs to ensure compliance with client contracts and service delivery targets.. Implement processes and tools to enhance SLA adherence and optimize service efficiency.. Continuous Improvement and Process Optimization. Identify opportunities for process improvements and automation to streamline service delivery and reduce operational overhead.. Develop and implement best practices and standards for data management, security, and documentation.. Conduct regular reviews of service performance, making data-driven recommendations to improve team productivity and client satisfaction.. Qualifications:. Previous experience in data & analytics an advantage.. Proven experience in people management, with a track record of leading, motivating, and developing technical teams.. Strong background in customer service, with a commitment to delivering client-focused solutions.. Demonstrated experience managing SLAs and ensuring team accountability for service delivery targets.. Familiarity with ITIL processes, with a certification preferred.. Proficiency in relevant data analytics technologies and tools, such as Microsoft Data Analytics, Azure, Synapse, and ideally Fabric.. Excellent communication, problem-solving, and decision-making skills.. Preferred Certifications:. ITIL v4. Relevant Microsoft certifications (e.g. Data Analyst Associate, Azure Data Engineer Associate). The Managed Services Team Lead will play a pivotal role in ensuring high standards of service delivery, fostering team collaboration, and continuously improving processes to meet and exceed client expectations..

Responsibilities. Developing low to high-complexity, secure, governed, high-quality, and efficient data pipelines from a variety of on and off-premise, internal, and external data sources. Ensuring that data is cleansed, mapped, transformed, and optimized for storage to meet requirements for business and technical use cases. Building data observability and data quality by design into all Data pipelines, promoting self-testing pipelines that proactively identify processing issues or discrepancies. Take all requirements into account when creating a proposal. Understanding and evaluating the organizational impact of new technologies and digital services. Troubleshooting and resolving issues. Requirements. Experience in working with large, event based, datasets in an enterprise environment. Minimum 6 years within an Azure or SQL Data Engineering environment. Engineering and database skills in SQL Server and/or Azure (Data Factory, Synapse) and the associated ETL technologies. Experience developing, driving, and maintaining Data Integration Roadmaps and best practices. Overall responsibility for all technical business requirements gathering deliverables and implementation. Ability to deliver high to low-level designs for Data Solutions and have a good understanding of the full data lifecycle. Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark, etc. Hands-on experience designing and developing stored procedures/functions and leveraging ETL packages/workflows. Expertise in Cloud-related Big Data integration and infrastructure tech stack using Azure Databricks and Apache Spark framework. Well-versed with scripting languages such as Python. Experience of Continuous Integration / Continuous Delivery (CI/CD). Experience working in an agile environment and self-managing teams. Understanding and practical knowledge of testing techniques and tools. Desired Technologies. Big Data. Azure. Spark. Python. Azure Databricks. Azure Synapse. Azure Data Factory. SQL Server. This job was posted by Sonam Singh from Coeo