Marcus Evans founded in 1983, is a global Business Intelligence and Event Marketing company seeking a highly capable Data Engineer to join our in-house technology team in India.
This is an internal, hands-on engineering role supporting the data platforms, integrations, and operational systems used across our international business. The role will focus on designing, building, and supporting modern cloud-based data solutions using Microsoft Azure technologies. The successful candidate will work closely with colleagues and stakeholders across multiple regions to deliver scalable data platforms, integrations, and automation solutions.
Exposure to AI-enabled services is beneficial but is not a core requirement. This role is best suited to someone who enjoys solving complex data challenges, improving business-critical systems, and working as part of an in-house team with a global remit.
Working arrangements:
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 and optimise SQL Server databases, stored procedures, queries, and performance tuning
Build Python-based integrations, automation tools, and data processing solutions
Work with REST 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 teams to gather requirements and deliver solutions
Ensure data quality, reliability, performance, and security across platforms
Produce technical documentation and support operational processes
Participate in architecture discussions and contribute to ongoing platform improvements
Where relevant, support the integration of Azure AI services, third-party AI APIs, or AI-enabled workflows
Qualifications
3+ years of relevant industry experience
Strong experience with Microsoft SQL Server
Experience building pipelines using Azure Data Factory (ADF)
Strong Python programming skills
Experience integrating REST APIs and cloud-based services
Good understanding of data integration and transformation concepts
Experience troubleshooting and optimising data processes
Familiarity with Azure cloud services and environments
Strong analytical and problem-solving skills
Excellent English language communication skills are essential
Ability to communicate clearly with both technical and non-technical stakeholders
Comfortable participating in meetings with international teams
Candidates should be comfortable working independently and contributing to technical discussions and solution design
Self-motivated and proactive
Strong attention to detail
Ability to work independently and as part of an in-house international team
Strong organisational and time management skills
Eagerness to learn and adopt new technologies
Desirable Skills
Experience with Azure Functions or serverless architecture
Exposure to Azure AI services, AI APIs, prompt engineering, or LLM integrations
Interest in developing AI-enabled workflows and automation solutions
Knowledge of Power BI or data visualisation tools
Experience with Git/version control systems
Experience working in Agile environments
Exposure to DevOps and CI/CD pipelines
Compensation & Benefits
A key role in the in-house technology team of a global events and business intelligence company
Opportunity to work on modern cloud and data technologies, with optional exposure to AI initiatives
Exposure to international projects and stakeholders
Collaborative and fast-paced working environment
Flexible hybrid or remote working arrangements based on location
International travel opportunities
Career growth opportunities within a growing technology team
Direct collaboration with overseas teams and decision makers
We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.
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