Senior Data Engineer; Managed Services

Position: Senior Data Engineer (Managed Services)
Job Title:

Senior Data Engineer (Managed Services)

Job Location:

Nanakramguda, Hyderabad, India
Job Type: Full-time
Work Mode: (Hybrid - we operate from the office  1 day  per week)
Company:
Coeo Ltd.,

Kindly

Note:

We are looking to hire someone who has worked in the Production Support environment. (This is Must),
Someone who can provide on-call support to the clients.
Should be comfortable working in a 24/7 shift environment if required in the future? While we do not currently operate 24/7 shifts, this may be introduced later, and we would like to ensure you are flexible with such working arrangements.

About the company:

Coeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team has deep technical and commercial 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 17 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

We support a wide range of Data & Analytics solutions, so the issues you encounter can be very diverse. If you are as passionate about data and Azure as we are, then the Managed Services Team might be the place for you!
As a  Senior Data Engineer  in our  Managed Services team,  you’ll play a key role in supporting and enhancing modern data platforms for our clients. This is a hands-on role where you’ll be trusted to take ownership, solve complex problems, and continuously improve the solutions we manage. You’ll also have the opportunity to grow your skills through structured learning and Microsoft certifications.

In this role, you will:
Monitor and manage production Data & Analytics solutions to ensure performance and reliability
Troubleshoot and resolve incidents and technical issues across Azure-based data platforms
Contribute to a 24x7 support model through scheduled shift rotations, weekend support, and on-call coverage as part of a team-based approach.
Develop and deploy enhancements and optimizations to existing solutions
Build and configure automation tools to streamline operations and reduce manual effort
Work directly with end-users and customers, providing expert support and guidance

We'll invest heavily in your ongoing development through access to formal training, in-house development sessions, mentoring, and external gatherings. We cover the cost of study for Microsoft certification exams to make sure you reach your full potential, and you will have personal development time allocated to ensure you have time to learn.

Required Experience:

A minimum of 5+ years of relevant professional experience is required.
Experience working in a Managed Services team, supporting Azure-based production Data & Analytics ETL/integration solutions (e.g., Synapse, Databricks, Data Factory, Fabric, Function Apps, Power BI) in line with SLAs
Strong hands-on skills in Python and SQL
Proven ability to identify, investigate, and resolve complex technical issues

Experience with ticket management and communicating directly with customers/end-users via phone, tickets, and email

Advantageous

Experience:

Familiarity with ITIL practices and service management frameworks
Experience enhancing data pipelines, notebooks, and Power BI reports/models
Knowledge of PySpark, Scala Spark SQL, .NET (C#), SSAS, and SSIS
Exposure to Azure infrastructure (e.g., VMs,…