🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
At EY you ll have the chance to build a career as unique as you are with the global scale support inclusive culture and technology to become the best version of you And we re counting on your unique voice and perspective to help EY become even better too Join us and build an exceptional experience for yourself and a better working world for all EY-Strategy and Transactions - SaT- DnA Manager EY s Data n Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management Visualization Business Analytics and Automation The assignments cover a wide range of countries and industry sectors The opportunity We re looking for Manager - Data Engineering The main objective of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams The role will primarily involve conceptualizing designing developing deploying and maintaining complex technology solutions which help EY solve business problems for the clients This role will work closely with technical architects product and business subject matter experts SMEs back-end developers and other solution architects and is also on-shore facing This role will be instrumental in designing developing and evolving the modern data warehousing solutions and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures In this role you will be coming up with design specifications documentation and development of data migration mappings and transformations for a modern Data Warehouse set up data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities OLAP in order to create impactful decision analytics reporting Your key responsibilities Evaluating and selecting data warehousing tools for business intelligence data population data management metadata management and warehouse administration for both on-prem and cloud based engagements Strong working knowledge across the technology stack including ETL ELT data analysis metadata data quality audit and design Design develop and test in ETL tool setting GUI canvas driven tools to create workflows Experience in design documentation data mapping technical specifications production support data dictionaries test cases etc Provides technical leadership to a team of data warehouse and business intelligence developers Coordinate with other technology users to design and implement matters of data governance data harvesting cloud implementation strategy privacy and security Adhere to ETL Data Warehouse development Best Practices Responsible for Data orchestration ingestion ETL and reporting architecture for both on-prem and cloud MS Azure AWS GCP Assisting the team with performance tuning for ETL and database processes Skills and attributes for success 9-11 years of total experience with 5 years in Data warehousing Business Intelligence field Solid hands-on 5 years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse Strong knowledge of data architecture for staging and reporting schemas data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms preferably AWS Azure GCP Minimum 3 years experience in Azure database offerings Relational NoSQL Datawarehouse 3 years hands-on experience in various Azure services preferred - Azure Data Factory Kafka Azure Data Explorer Storage Azure Data Lake Azure Synapse Analytics Azure Analysis Services Databricks Minimum of 5 years of hands-on database design modeling and integration experience with relational data sources such as SQL Server databases Oracle MySQL Azure SQL and Azure Synapse Strong in PySpark SparkSQL Knowledge and direct experience using business intelligence reporting tools Power BI Alteryx OBIEE Business Objects Cognos Tableau MicroStrategy SSAS Cubes etc Strong creative instincts related to data analysis and visualization Aggressive curiosity to learn the business methodology data model and user personas Strong understanding of BI and DWH best practices analysis visualization and latest trends Experience with the software development lifecycle SDLC and principles of product development such as installation upgrade and namespace management Willingness to mentor team members Solid analytical technical and problem-solving skills Excellent written and verbal communication skills To qualify for the role you must have Bachelor s or equivalent degree in computer science or related field required Advanced degree or equivalent business experience preferred Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical .
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.