Data Engineer

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 & EngineeringDesign, 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 SupportCollaborate 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 & QualityImplement 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 & AutomationIntegrate 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 & LeadershipWork 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 & ExperienceTechnical SkillsStrong hands-on experience with:Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Notebooks)Azure Data Factory, Azure Synapse, or equivalent data integration toolsData Warehousing design and implementation (star schema, snowflake, dimensional modeling)Power BI datasets, semantic models, and DAX fundamentalsSQL expertise, including performance tuning and complex queriesData Lake architectures (ADLS Gen2)ETL/ELT development using Microsoft ecosystem toolsExperience with Python or PySpark for data processing (preferred).Knowledge of Azure DevOps, Git, and CI/CD for data pipelines.Soft SkillsStrong 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.QualificationsBachelor’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.

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