Data Engineer

Were looking for a Data Engineer - Microsoft Azure to join our Data & Analytics practice and help

deliver modern data platform solutions for our UK and GCC clients. Youll work across implementation,

enhancement, and support projects, building scalable data solutions and enabling business-driven

analytics using Microsoft Fabric.

This is a hands-on technical and consulting role. Youll be responsible for ingesting and transforming

data from sources such as SAP, Salesforce, Incadea, Excel, APIs, and other enterprise systems,

implementing Medallion Architecture (Bronze, Silver, and Gold layers), and developing semantic

models for enterprise reporting. Youll work closely with business stakeholders, solution architects, and

delivery teams across India and the UK to deliver reliable, scalable, and insight-driven data solutions.

Experience with Power BI, Advanced DAX, and Microsoft Copilot will be highly valued.

What Youll Do

Design, develop, and maintain data solutions using Microsoft Fabric, including Lakehouse, Data

Warehouse, Data Factory, and Dataflows Gen2.

Build and support scalable ETL/ELT pipelines to ingest, transform, and process data from SAP,

Salesforce, Incadea, Excel files, APIs, and other business applications.

Implement and maintain Medallion Architecture (Bronze, Silver, and Gold layers) to ensure data

consistency, quality, and efficient analytics.

Work with business and functional teams to gather requirements, understand reporting needs, and

translate them into data solutions.

Develop and maintain Power BI Semantic Models, DAX measures, KPIs, and reporting datasets to

support business intelligence requirements.

Create and optimize data models, fact and dimension tables, and reporting structures for improved

performance and usability.

Perform data validation, testing, troubleshooting, and deployment activities to ensure accurate and

reliable data delivery.

Monitor and support production data pipelines, investigate issues, and resolve data quality or

performance concerns.

Collaborate with solution architects, business users, and technical teams to deliver high-quality

analytics and reporting solutions.

Prepare and maintain technical documentation, data mappings, transformation logic, and operational

procedures.

Utilize Microsoft Copilot and AI-assisted capabilities where appropriate to improve productivity and

accelerate solution delivery.

What Were Looking For

35 years of hands-on experience in Data Engineering, Data Consulting, Business Intelligence, or

Analytics Engineering.

Experience working with Microsoft Fabric, Azure Data Services, or similar cloud-based data

platforms.

Strong technical knowledge of Microsoft Fabric, SQL, Azure Data Factory, Python/PySpark, and data

integration concepts.

Experience building and maintaining data pipelines, data lake/lakehouse solutions, and Medallion

Architecture.

Strong understanding of data modelling, including star schemas, fact and dimension design, and data

warehousing principles.

Hands-on experience in developing Power BI Semantic Models, DAX measures, and enterprise

reporting solutions.

Experience integrating data from SAP, Salesforce, ERP applications, databases, APIs, and flat-file

sources.

Knowledge of data quality, governance, security, and performance optimization best practices.

Ability to document requirements, data mappings, transformation logic, and solution designs clearly

and professionally.

Experience supporting testing activities, production deployments, and issue resolution.

Strong communication and stakeholder management skills, with experience interacting directly with

business users and client teams.

Exposure to Microsoft Copilot, Fabric AI capabilities, or AI-assisted analytics will be an added

advantage.

Microsoft certifications in Fabric, Azure Data Engineering, Power BI, or Data Analytics are preferred.

Nice to Have

Exposure to Microsoft Fabric Lakehouse, Data Warehouse, Dataflows Gen2, and Real-Time Analytics

capabilities.

Experience with Azure Databricks, Snowflake, or other modern cloud data platforms.

Knowledge of Power BI governance, deployment pipelines, workspace management, and reporting

lifecycle management.

Familiarity with SAP, Salesforce, Dynamics 365, Incadea, and other enterprise business applications.

Experience with data governance, master data management (MDM), data quality frameworks, and

security controls.

Exposure to Azure DevOps, Git, CI/CD pipelines, and automated deployment processes.

Understanding of Microsoft Copilot, Fabric AI, AI-powered analytics, and intelligent reporting

solutions.

Experience supporting data migration, modernisation, and cloud transformation initiatives.

Familiarity with streaming data, APIs, event-driven architecture, and near real-time analytics

solutions.

Certifications such as Microsoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer

Associate, or Power BI Data Analyst Associate would be advantageous.

Kindly reply to this email without changing the subject line with an updated copy of your resume along with the following details.

Current CTC:

Expected CTC:

Notice Period:

AI Screening

As part of our evaluation process, an initial AI screening round invite will be shared with you shortly. We request you to complete this assessment at the earliest, as it plays a crucial role in strengthening your profile and helps us process your candidature more effectively with the client.

Thanks & regards,

Team Finjo

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