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About Our Client Our client is a leading multinational organization investing heavily in digital transformation, data, analytics, and AI capabilities. They are building a modern enterprise data platform to support business intelligence, automation, and strategic decision-making across global operations. The Role We are seeking an experienced Senior Data Engineer / Data Analytics Manager to drive the development of enterprise data solutions and analytics capabilities. This role combines hands-on technical expertise with stakeholder engagement to deliver scalable data platforms, high-quality data, and actionable business insights. Key ResponsibilitiesData Platform & Engineering Design, build, and maintain scalable data platforms, warehouses, and databases. Develop and optimize ETL/ELT pipelines and data integration processes. Integrate data from ERP systems, APIs, SharePoint, and other business applications. Ensure platform reliability, performance, security, and scalability. Analytics & AI Translate business requirements into data-driven solutions and insights. Develop analytics models and datasets for reporting and decision-making. Support machine learning, AI, and automation initiatives. Evaluate and adopt new technologies to enhance analytics capabilities. Data Governance & Quality Establish data governance standards and best practices. Implement data quality controls and validation processes. Ensure data accuracy, consistency, and integrity across the organization. Maintain data definitions, documentation, and business rules. Stakeholder Collaboration Partner with business and technology teams to deliver analytics solutions. Lead data initiatives from design through deployment. Provide technical leadership, coaching, and guidance to team members. Promote a data-driven culture across the organization. Requirements (5+ years for Engineer, 8+ years for Manager) of experience in Data Engineering, Data Analytics, Business Intelligence, or related fields. Strong SQL, database management, and data modelling skills. Hands-on experience with Python, Spark, ETL/ELT pipelines, and data warehousing. Experience with Microsoft Azure technologies, including: Azure Data Factory Azure Databricks Azure Synapse Analytics Azure Data Lake Azure SQL Database Knowledge of Power BI and enterprise reporting environments. Experience integrating ERP systems, preferably Microsoft Dynamics 365 Business Central. Exposure to finance, operations, supply chain, or large-scale enterprise data. Experience with AI, machine learning, or AI agent development is an advantage. Strong analytical, problem-solving, and stakeholder management skills. Bachelor's degree in Computer Science, Information Systems, Data Science, or a related discipline. Relevant Azure or Power BI certifications are a plus.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.