Senior Data Engineer & Data Scientist

We are seeking an experienced Senior Data Engineer with 5–7 years of expertise in building and maintaining data platforms on Microsoft Azure. The ideal candidate will have hands-on experience designing scalable data pipelines, managing data warehouses and lakes, and enabling enterprise reporting and analytics.

🔧 What You’ll Do: 

• Design, develop, and optimise data ingestion pipelines using Azure Data Factory, Synapse Analytics, and Azure Databricks.
• Manage large-scale data storage solutions with Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
• Develop and optimise data lake and warehouse architectures using Azure Data Lake Storage Gen2, Delta Lake, and Fabric OneLake.
• Implement data transformation frameworks (ETL/ELT) for structured and unstructured data.
• Collaborate with business and analytics teams to design data models, warehouses, and marts.
• Develop dashboards and reports using Power BI, leveraging Direct Lake mode for real-time analytics.
• Perform data profiling, cleansing, and transformation using Power Query (M language).
• Write efficient DAX expressions for calculated columns, measures, and time-based analysis.
• Apply best practices for security, compliance, and Zero-Trust principles in Azure data solutions.
• Implement CI/CD pipelines for data workloads using Azure DevOps.
• Monitor, troubleshoot, and optimise pipelines to ensure reliability and performance

✅ Great to Have: 

• Microsoft Certified: Azure Data Engineer Associate or Azure Enterprise Data Analyst Associate.
• Knowledge of data architecture best practices and performance optimisation.

🌍 Why Join ITKnocks? 

• Be part of a growing, innovative team with a supportive and collaborative culture.
• Work on international projects that transform businesses through Microsoft technologies.
• Enjoy a hybrid work model that promotes work-life balance.
• Build a long-term career with ongoing training and development opportunities.

📝 Apply Now

Please send your resume to hr@itknocks.com