FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior Data Engineer – AI, LLM Solutions
AIM Qualifications and Assessment Group. Design and develop enterprise-scale data solutions using Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing enterprise-scale data solutions using Microsoft Fabric and Azure technologies, with a strong focus on data modernization, AI integration, and scalable ETL/ELT pipeline optimization. Proficient in implementing data governance, quality processes, and supporting analytics frameworks for business intelligence.
Highest-signal resume keywords
Microsoft FabricAzure Data FactoryETL/ELT Pipeline OptimizationData GovernanceAI Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Solutions DesignData Warehouse DevelopmentLakehouse ArchitectureBatch and Real-Time ProcessingPySparkSpark SQLData Quality ImplementationData LineageData CatalogingAPI Integration
Soft Skills
CollaborationTechnical GuidanceMentorshipProblem-SolvingCommunication
Tools & Technologies
Azure Synapse AnalyticsAzure Data Lake StorageAzure DatabricksMicrosoft PurviewPower BI
Industry Keywords
Data ModernizationMachine LearningGenerative AIComplianceSOC 2NISTCMMC
Tech Stack
Tools & technologiesAzureCloudETLMySQLNoSQLPostgresPySparkPythonSparkSQLTableau
About the role
Key responsibilities & impact- Design and develop enterprise-scale data solutions using Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks
- Build and optimize scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data
- Develop Lakehouse, Data Warehouse, and Medallion Architecture solutions
- Design and implement batch and real-time data processing frameworks
- Lead data modernization, migration, and integration initiatives from legacy platforms
- Develop data foundations for AI, Machine Learning, and Generative AI solutions
- Prepare, transform, and optimize datasets for AI applications, model training, and fine-tuning
- Design and implement RAG architectures and vector search solutions
- Support Azure OpenAI, Microsoft Copilot, and enterprise LLM implementations
- Collaborate with Data Scientists and AI Engineers to operationalize AI and machine learning solutions
- Build distributed data processing solutions using PySpark and Spark SQL
- Develop automated integrations connecting APIs, SaaS applications, databases, and cloud services
- Design reusable data engineering frameworks, components, and standards
- Optimize workloads for performance, scalability, reliability, and cost efficiency
- Implement data quality, validation, monitoring, and error-handling processes
- Implement data governance and cataloging using Microsoft Purview
- Establish data lineage, classification, cataloging, and access controls
- Ensure alignment with security, privacy, compliance, SOC 2, NIST, and CMMC requirements
- Design and support semantic data models for Power BI and enterprise analytics
- Enable self-service analytics and support KPI frameworks, executive dashboards, reporting, and predictive analytics
- Provide technical guidance and mentorship to junior and mid-level data engineers
- Participate in solution architecture, technical design reviews, implementation planning, and presales activities
- Work with clients and stakeholders to translate business needs into scalable technical solutions
- Develop technical documentation, engineering standards, and reusable implementation patterns
- Troubleshoot data pipeline, platform, and integration issues
- Monitor and optimize data workloads and cloud resources
- Support enhancements, upgrades, and ongoing maintenance of data platforms
- Identify improvements in data quality, automation, performance, and operational efficiency
- Stay current with Microsoft Fabric, Azure, AI, Generative AI, and data engineering technologies
Requirements
What you’ll need- Website LinkedIn All Job Openings 51 - 200 employees Founded 2011 📚 Education 🤝 Non-profit 👥 HR Tech Education
- Non-profit
- HR Tech AIM Qualifications and Assessment Group is a not-for-profit awarding organisation and Access Validating Agency with over 40 years of experience in creating and awarding qualifications, including Access to HE Diplomas. The organisation is dedicated to promoting inclusion, integrity, respect, and empowerment through flexible, professional, and technical qualifications ranging from Entry Level to Level 6. AIM also specializes in end-point assessments for apprenticeships in the creative, cultural, digital technologies, and professional services sectors, supporting various organisations in delivering quality training and assessments.
Benefits
Comp & perks- Remote-first work environment
- Opportunity to work on enterprise-scale Microsoft Fabric and Azure data platforms
- Exposure to AI, Generative AI, Azure OpenAI, and LLM initiatives
- Opportunity to work with modern cloud and data technologies
- Collaborative, innovation-driven culture
- Exposure to diverse enterprise and consulting projects