Azure Data Engineer

About Kagool

Kagool is a global IT services and consulting company specialising in enterprise digital transformation, with strong expertise across SAP delivery, data management, cloud modernisation, analytics, AI, and managed services. We help organisations unlock more value from their ERP and data platforms through end-to-end consulting, delivery, integration, migration, and support services.

Our partnerships with leading technology providers such as Microsoft, SAP, Databricks, Google, AWS, Oracle, and other strategic partners enable us to deliver scalable, secure, and innovative solutions for complex enterprise environments. Kagool serves customers across multiple regions, with a presence across three continents and several countries, supporting clients globally with reliable delivery capability and 24/7 coverage.

Role Overview

We are seeking a highly skilled Azure Data Engineer with strong experience in building scalable data solutions on Microsoft Azure. The ideal candidate should have hands-on expertise in designing, developing, and optimizing data pipelines and data architectures using Azure-native tools.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Azure services
• Develop and optimize ETL/ELT processes using Azure Data Factory (ADF) and Azure Synapse Analytics
• Work with structured and unstructured data for ingestion, transformation, and storage
• Implement data solutions using Azure Data Lake, Blob Storage, and SQL Database
• Collaborate with data scientists, analysts, and stakeholders to support analytics use cases
• Perform data modeling (both relational and dimensional models)
• Ensure data quality, governance, and security best practices
• Monitor and troubleshoot data pipeline performance
• Implement CI/CD pipelines and automation for data workflows

Required Experience (Minimum 5+ Years)

• 5+ years in Data Engineering / Data Warehousing / Big Data
• At least 3+ years of hands-on experience in Azure Data Platform

Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

Strong experience with: 

• Azure Data Factory (ADF)
• Azure Synapse Analytics / SQL Data Warehouse
• Azure Data Lake Storage (ADLS Gen2)
• Experience in ETL/ELT pipeline development
• Proficiency in SQL and Python or PySpark
• Hands-on experience with big data processing frameworks (Spark preferred)
• Experience in designing data warehouses, data marts, and lakehouse architectures
• Familiarity with DevOps practices (Azure DevOps, CI/CD pipelines)

Mandatory Certifications

Candidates must possess the following certifications:

• Microsoft Certified: Azure Data Engineer Associate (DP-203) (Highly Mandatory / Preferred)
• Azure Data Fundamentals (DP-900) + relevant project experience
• Databricks Certified Data Engineer Associate / Professional

Required Skills

• Azure Data Services: ADF, Synapse, ADLS, Databricks
• Programming: Python / PySpark / SQL
• Data processing: Batch & streaming

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Data modeling and warehousing concepts
• Experience with Power BI (nice to have)
• Strong debugging and performance tuning skills
• Knowledge of data security and governance

Soft Skills

• Strong communication skills (essential for remote work)
• Ability to work in global teams across UK/US stakeholders
• Problem-solving mindset
• Ability to work independently in a fast-paced environment

Preferred Candidate Profile

• Immediate joiners or candidates with short notice period (≤15 days)
• Experience working in international client environments
• Prior experience in remote/distributed teams
• Exposure to Agile/Scrum methodologies

Career at Kagool

A career at Kagool offers a progressive and growth-focused environment where talented professionals can work on meaningful enterprise transformation programmes. Employees have plenty of opportunities to collaborate with global teams, contribute to innovative solutions, and develop expertise across modern data, cloud, SAP, AI, and analytics technologies. We encourage continuous learning, upskilling, and career progression, giving team members the opportunity to take ownership, expand their capabilities, and grow along with the business.