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Role Summary We are looking for an experienced and hands-on Project Manager in Data Engineering who can lead the end-to-end delivery of data pipeline projects across Azure and AWS environments. The ideal candidate will bring strong technical depth in data engineering along with client-facing and project execution capabilities. Key Responsibilities Lead and manage multiple data engineering projects across Azure and AWS ecosystems. Gather client requirements and translate them into technical specifications and delivery roadmaps. Design, oversee, and ensure successful implementation of scalable data pipelines, ETL processes, and data integration workflows. Collaborate with internal data engineers, BI developers, and client stakeholders to ensure smooth project execution. Ensure adherence to timelines, quality standards, and cost constraints. Identify project risks, dependencies, and proactively resolve issues. Own the client relationship from initiation to delivery conduct regular check-ins, demos, and retrospectives. Stay updated on emerging tools and best practices in the data engineering space and recommend their adoption. Lead sprint planning, resource allocation, and tracking using Agile or hybrid methodologies. Requirements 710 years of total experience in data engineering and project delivery. Strong experience in Azure Data Services Azure Data Factory, Synapse, Databricks, Data Lake, etc. Working knowledge of AWS data tools such as Glue, Redshift, S3, and Lambda functions. Good understanding of data modeling, data warehousing, and pipeline orchestration. Experience with tools such as Talend, Airflow, DBT, or other orchestration platforms is a plus. Proven track record of managing enterprise data projects from requirement gathering to deployment. Client-facing experience with strong communication and stakeholder management skills. Strong understanding of project management methodologies and tools (e.g., JIRA, Trello, MS Project). .
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.