Senior Data Engineer

About the role

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.