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Senior Data Engineer (Managed Services)

Hyderabad, Telangana, India

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Full-time — employment source
Job Location: Nanakramguda, Hyderabad, India Job Type: Full-time Work Mode: (Hybrid - we operate from the office "1 day" per week)
Read the full posting
Apply at Coeo (Website)

What you’ll bring

All qualifications

Core experience

  • 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
  • Proven ability to identify, investigate, and resolve complex technical issues
  • Familiarity with ITIL practices and service management frameworks
  • Experience with ticket management and communicating directly with customers/end-users via phone, tickets, and email
  • Experience enhancing data pipelines, notebooks, and Power BI reports/models
  • Knowledge of PySpark, Scala Spark SQL, .NET (C#), SSAS, and SSIS
Qualification wording
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
Proven ability to identify, investigate, and resolve complex technical issues
Familiarity with ITIL practices and service management frameworks
Experience with ticket management and communicating directly with customers/end-users via phone, tickets, and email
Experience enhancing data pipelines, notebooks, and Power BI reports/models
Knowledge of PySpark, Scala Spark SQL, .NET (C#), SSAS, and SSIS

Tools in this posting

  • Python
  • Scala
  • SQL
  • Azure
  • Databricks
  • Spark
  • PySpark
  • C#
  • Power BI
Source — Tool mentions in context
- 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 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, VNETs, security configurations)
- 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.
- 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.
- 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
- Knowledge of PySpark, Scala Spark SQL, .NET (C#), SSAS, and SSIS - Exposure to Azure infrastructure (e.g., VMs, VNETs, security configurations) - Microsoft certifications such as DP-203 or DP-600
- 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

Benefits in the posting

Full benefits wording
  • Company bonus scheme driven by your and our success
  • Comprehensive benefits package
  • Company growth and new projects mean on going career progression options

From the employer’s posting.

About Coeo (Website)

Our mission is to “help our clients predict their future” through the better use of data, technology, people, and processes.

In the employer’s words · Read in context

Job description

View original posting ↗

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.,

 

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 optimise their costs and maximise 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, VNETs, security configurations)
  • Microsoft certifications such as DP-203 or DP-600

 

Benefits:

  • Company bonus scheme driven by your and our success
  • Comprehensive benefits package
  • We care about your wellbeing so have invested resources and training to help to ensure you can be at your best with us
  • Very friendly, inclusive culture, family-feel and strong camaraderie
  • Company growth and new projects mean on going career progression options
  • Up to date technology, so collaboration has never been easier
  • Cutting edge technology projects – exciting goals ahead!

 

Diversity and Inclusion:

Coeo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and strive to ensure that everyone feels valued, respected, and supported. If you require any adjustments or additional support during the interview process, please let us know, and we will be happy to accommodate your needs.

 

How to Apply:

Click Apply or visit our Careers page at www.coeo.com. or you can send your resume to krishna.chaitanya@coeo.com

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Pay

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Location & working pattern

Hyderabad, Telangana, India

Job Type: Full-time Work Mode: (Hybrid - we operate from the office "1 day" per week) Company: Coeo Ltd.,
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Status in our records
Active
First seen by us
Aug 12, 2026
Recorded sightings
12
Last seen by us
Oct 8, 2026

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