Seeking an experienced Data Engineer to design, build and optimise data solutions across the Microsoft ecosystem. Must have hands-on expertise in Microsoft Fabric, Azure Data Services, data warehousing, ETL/ELT pipelines, data modelling, and Power BI analytics.

The incumbent will have the following responsibilities:

Data Architecture & Engineering

• Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Data Factory, Synapse Pipelines, or equivalent tools.
• Develop and optimize data warehouses, lakehouses, and data models aligned with business needs.
• Implement ETL/ELT workflows to ingest, clean, transform, and prepare data for analytics and reporting.
• Design and maintain semantic models for Power BI and downstream consumption.

Analytics & BI Support

• Collaborate to work on Power BI reporting through optimized datasets, DAX models, and data sources.
• Ensure data accuracy, completeness, and reliability for business reporting and analytics use cases.
• Support self-service analytics initiatives by provisioning curated and governed data assets.

Data Governance & Quality

• Implement data quality rules, monitoring frameworks, and lineage tracking.
• Ensure compliance with enterprise data governance standards, including security, privacy, and lifecycle policies.
• Support documentation of data models, schemas, transformations, and technical design.

Integration & Automation

• Integrate data from multiple on-premises and cloud systems using Microsoft data integration tools.
• Implement CI/CD pipelines for data workflows using Azure DevOps or Git-based repositories.
• Automate recurring data engineering tasks to improve reliability and efficiency.

Collaboration & Leadership

• Work closely with data architects, business analysts, and stakeholders to translate requirements into technical solutions.
• Provide technical guidance to junior data engineers and contribute to best practices in data engineering.

Required Skills & Experience

Technical Skills

• Strong hands-on experience with:
• Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Notebooks)
• Azure Data Factory, Azure Synapse, or equivalent data integration tools
• Data Warehousing design and implementation (star schema, snowflake, dimensional modeling)
• Power BI datasets, semantic models, and DAX fundamentals
• SQL expertise, including performance tuning and complex queries
• Data Lake architectures (ADLS Gen2)
• ETL/ELT development using Microsoft ecosystem tools
• Experience with Python or PySpark for data processing (preferred).
• Knowledge of Azure DevOps, Git, and CI/CD for data pipelines.

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent documentation and communication skills.
• Ability to work in cross-functional teams and engage with business stakeholders.
• High attention to detail and a commitment to data accuracy and quality.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 3–5+ years’ experience in data engineering within the Microsoft ecosystem.
• Microsoft certifications in Azure Data Engineering, Fabric Analytics, or Power BI are an advantage.