Marcus Evans
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Data&AIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data & AI Engineer at Marcus Evans. Skills: Data Engineering, AI, Azure. Design ETL/ELT pipelines. Develop ETL/ELT pipelines”
Industry & Context.
Data challenges; Troubleshooting; Problem-solving
What They're Looking For.
Must Have
3+ years relevant experience, Microsoft SQL Server experience, Azure Data Factory experience, Python programming skills, Azure AI services experience, REST APIs integration experience, Data integration concepts, Data transformation concepts, Data processes troubleshooting, Data processes optimisation, Azure cloud services familiarity, Analytical skills, Problem-solving skills, Spoken English skills, Written English skills, Technical stakeholder communication, Non-technical stakeholder communication, International team meetings
Nice to Have
Azure Functions experience, Serverless architectures experience, AI prompt engineering experience, LLM integrations experience, Power BI knowledge, Data visualisation tools knowledge, Git experience, Version control systems experience, Agile environments experience, DevOps practices exposure, CI/CD pipelines exposure
What You'll Do.
Design ETL/ELT pipelines
Develop ETL/ELT pipelines
Maintain ETL/ELT pipelines
Develop SQL Server databases
Optimise SQL Server databases
Support SQL Server databases
Develop SQL stored procedures
Optimise SQL stored procedures
Support SQL stored procedures
Build Python integrations
Build Python automation tools
Build Python data processing
Integrate Azure AI services
Support Azure AI services
Integrate third-party AI APIs
Support third-party AI APIs
Develop AI-enabled workflows
Develop AI automation solutions
Develop LLM solutions
Integrate cloud services
Troubleshoot production issues
Resolve production issues
Collaborate with stakeholders
Ensure data reliability
Ensure data performance
Produce technical documentation
Support operational processes
Participate in architecture discussions
Contribute to platform improvement
How You'll Work.
Team & Collaboration
International stakeholders; International teams; Business stakeholders; Technical stakeholders
Communication Scope
Technical documentation; English communication
Process & Methodology
Agile environments
Full Job Description
Marcus Evans founded in 1983, is a global Business Intelligence and Event Marketing company. Headquartered in the UK, we are rated in the top 20 UK companies for work/life balance. We are a European-headquartered international organisation seeking a talented and motivated Data & AI Engineer to join our growing technology team in India. This role will focus on designing, developing, and supporting modern cloud-based data and AI solutions using Microsoft Azure technologies. The successful candidate will work closely with international stakeholders and contribute to the delivery of scalable data platforms, integrations, automation solutions, and AI-enabled services. This is a hands-on technical role suited to someone who enjoys solving complex data challenges and implementing modern cloud and AI technologies within a collaborative international environment. Working arrangements: 1. Employees based in or near Mumbai will work: * 2 days per week in the office * 3 days per week from home on a rota basis 2\. Employees outside Mumbai may work remotely, with occasional office attendance when required Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory * Develop, optimise, and support SQL Server databases, stored procedures, and queries * Build Python-based integrations, automation tools, and data processing solutions * Integrate and support Azure AI services and third-party AI APIs * Develop AI-enabled workflows and automation solutions using modern LLM and AI technologies * Work with APIs and cloud services to integrate internal and external systems * Troubleshoot and resolve production issues across data and application environments * Collaborate with business and technical stakeholders to gather requirements and deliver effective solutions * Ensure data quality, reliability, performance, and security across platforms * Produce technical documentation and support operational processes * Participate in architecture discus
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