Senior Data Engineer

Job description

**Job Title: Senior Data Engineer** **Job Location: Nanakramguda, Hyderabad, India** **Job Type: Full-time** **Department: Consulting Services** **Work Mode: (Hybrid - we operate from the office "1 day" per week)** **Company: Coeo Ltd.,** **About the company:** Coeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team have deep technical and comraderies experience working with Microsoft Data Services to help our clients optimize their costs and maximize the benefits from their investments in these technologies. Coeo has been established for over 18 years and has offices in Reading, UK and Hyderabad, India. We are exclusively focused on Microsoft technologies. Our mission is to “help our clients predict their future” through the better use of data, technology, people, and processes. To do this our business has always focused on: - Data Managed Services - Data Platform Consultancy - Analytics Consultancy - Artificial Intelligence Consultancy - Adoption and Change Management But above all, Coeo’s most important asset is its people, and at Coeo we are really focused on investing time, attention, and resources into building a culture that truly values its people. We are growing our teams in India to support our ongoing customer requirements in Managed Services, Consulting and Development. Coeo is recruiting a strong Senior Data Engineer (Consulting); we’ll give you the opportunity to grow and develop your capabilities as well as support you through Microsoft certifications. **Job Summary** The Senior Data Engineer (Consulting) role is a client-facing consulting position within Consulting Services, focused on leading Data, Analytics and AI engagements using Microsoft technologies such as Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse, Azure SQL and Power BI. The role combines hands-on technical delivery, modern data platform architecture, governance, data engineering and analytics expertise with strong consulting, stakeholder management and communication skills. Responsibilities include leading workshops and technical engagements, designing scalable and secure data solutions, mentoring consultants, managing delivery risks and helping clients realise business value from their data and technology investments. **Key Responsibilities** - Lead the delivery of complex Data, Analytics, AI and platform modernization projects using Microsoft technologies, including Microsoft Fabric, Azure Databricks and other Azure data services. - Facilitate client workshops, discovery sessions and technical engagements, translating business requirements into practical data and analytics solutions. - Design scalable, secure and well-governed data platform architectures that align with client objectives and industry best practice. - Provide technical leadership throughout project delivery, ensuring solutions meet agreed quality, performance and business outcomes. - Design and develop data models, semantic models and analytics solutions that enable data-driven decision making and measurable business value. - Advocate for effective data governance, user adoption and change management to maximize the value realized from technology investments. - Mentor and support consultants, promoting engineering excellence, knowledge sharing and continuous improvement across delivery teams. - Produce high-quality technical documentation, solution designs and client-facing deliverables to support successful project outcomes. - Proactively manage technical risks, dependencies and delivery challenges, working with clients and project teams to ensure successful implementation and adoption. **Technical Skills** You’ll need experience with some of the following, and an ability to learn new technologies and concepts quickly: - Strong experience designing and delivering modern data platforms using **Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL and Data Lake technologies.** - Proven experience implementing **Lakehouse, Data Warehouse and Medallion Architecture patterns, including data modelling, governance and performance optimization.** - Expertise in building scalable data ingestion, transformation and orchestration pipelines, integrating data from cloud, on-premises and third-party business systems. - Strong hands-on capability with **SQL, Python, Spark and PySpark for data engineering, analytics and automation workloads.** - **Experience** with **Azure Databricks and/or Microsoft Fabric engineering workloads**, including notebooks, Delta Lake, data transformation, optimization and operationalization of data solutions. - An understanding of data governance, security, lineage and data quality, using tools and frameworks such as Microsoft Purview and enterprise governance practices. - **Experience** **developing Power BI semantic models, dashboards** and reporting solutions that enable self-service analytics and business decision-making. - Familiarity with CI/CD, Infrastructure as Code and DevOps practices for deploying and managing modern data platforms.