Data Engineer

Marcus evans · Media, Advertising & Entertainment

India, India
Hybrid
Posted today
Data & AI
fulltime_permanent

About the job

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

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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Apply on Marcus evans