Marcus Evans

Media

Data&AIEngineer

₹15–25L ~AI est. Mumbai, Maharashtra, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data & AI Engineer at Marcus Evans. Skills: Data Engineering, AI, Azure. Design ETL/ELT pipelines. Develop ETL/ELT pipelines”

Industry & Context.

Media
Problems you'll solve

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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