Data Engineer – Managed Services

About the Role

3Cloud is a prominent Microsoft and Azure partner specializing in enterprise-grade AI, data analytics, and cloud infrastructure. The firm acts as a strategic advisor to sectors including finance, manufacturing, and healthcare, facilitating digital transformation through the full lifecycle of Microsoft Azure projects. Their managed services model ensures that client technical implementations are scalable, secure, and strategically aligned with business goals.

Requirements

• The ideal candidate will hold a bachelor’s degree in Computer Science, Mathematics, or a related field, along with three to five years of experience supporting solutions within the Microsoft Azure and Fabric tool stacks, including ADF, SQL DW, Azure Synapse, and Azure Databricks.
• Applicants must demonstrate proficiency in Enterprise Data Warehousing, semantic models, data lake architecture, and metadata-driven ETL processes.
• Familiarity with DevOps and DataOps practices, such as git-based source control and automated deployment pipelines, is mandatory.
• Additionally, the role requires strong verbal and written communication skills, a proven ability to manage client relationships, and a commitment to continuous technical growth.
• Experience in a support role governed by standard processes like ITIL is expected, while exposure to agentic AI, machine learning, or LLM use cases is considered a strong advantage.
• Candidates must be capable of working in a fast-paced environment and must not require work visa sponsorship.

Responsibilities

• In this role, you will be responsible for supporting multiple clients by managing their Azure Data Platform, Databricks, and Power BI environments, which includes responding to escalations and resolving incidents.
• You will implement and monitor enhancements to the Microsoft Azure and Fabric tool stacks while providing expert consultation on Power BI report development and data modeling.
• Your duties will involve building solutions that utilize multi-source data imports, metadata-driven ETL, medallion data lake architectures, and star-schema data models.
• You will also be tasked with configuring and tuning client data environments while adhering to governance and security best practices.
• Beyond technical execution, you will interact directly with stakeholders to identify issues, communicate status updates, maintain environment documentation, and ensure that all solutions remain aligned with client requirements and contracted service level agreements.

Benefits & Perks

• The role offers the opportunity to work remotely while collaborating with a dedicated team of data analytics professionals.
• Employees are encouraged to focus on personal and professional development with a commitment to continuously upgrading their technical skills through ongoing learning and research into new technologies.