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Job Description Location- Mexico (Remote) Experience-5+ Years Eligibility: Only candidates currently based in Mexico will be considered. Role Overview We are looking for an experienced Data Engineer to design, build, and manage modern cloud data platform solutions. This is a greenfield opportunity to build a scalable Azure data platform from the ground up, creating the technical foundation for AI-ready data, reporting, analytics, and data-driven decision-making across the organisation. The ideal candidate will have strong hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Python, and SQL, along with a solid understanding of modern data engineering and lakehouse architecture. Key Responsibilities Design, implement, and continuously improve end-to-end data platform solutions using Microsoft Fabric, Azure Data Factory (ADF), and Azure Data Lake Storage Gen2 (ADLS Gen2). Build scalable and reliable ETL/ELT pipelines to ingest, process, transform, and integrate data from multiple source systems. Develop modern lakehouse solutions using Medallion Architecture, including Bronze, Silver, and Gold data layers. Build and manage Microsoft Fabric Lakehouses, Warehouses, and Dataflows to support analytics and reporting requirements. Implement automated data quality checks, validation, monitoring, and pipeline testing to ensure data accuracy and reliability. Develop efficient data models and schemas to support reporting, analytics, compliance, customer insights, fraud detection, and product development. Collaborate with offshore data engineering teams, providing technical guidance and ensuring delivery against established engineering standards. Work closely with Business Intelligence teams to understand reporting and analytics requirements and provide reliable, well-structured data solutions. Contribute to data governance, metadata management, data cataloging, security, and data quality frameworks. Implement version control and support CI/CD practices for data engineering solutions. Create technical documentation and provide knowledge transfer and training to internal teams. Required Skills 5+ years of experience in Data Engineering or a similar role. Strong hands-on experience with Microsoft Fabric, including Lakehouse and Warehouse, Dataflows Strong experience with Azure Data Factory (ADF). Strong experience with Azure Data Lake Storage Gen2 (ADLS Gen2). Strong programming skills in Python. Advanced SQL skills, including complex queries, data transformation, and performance tuning. Strong experience developing ETL/ELT pipelines. Knowledge of data modeling and schema design. Experience with data quality, validation, and testing frameworks. Experience with Git and version control. Understanding of CI/CD fundamentals. Strong understanding of modern cloud data platforms and lakehouse architecture. Good communication and collaboration skills, with the ability to work effectively with distributed/offshore teams. Preferred Qualifications Experience building greenfield Azure data platforms. Experience implementing Medallion Architecture in Microsoft Fabric or Azure. Knowledge of data governance, metadata management, and data cataloging. Experience supporting BI, reporting, and analytics teams. Experience working with enterprise-scale data platforms and multiple source systems. Strong documentation and knowledge-transfer capabilities. If interested share your CVs to remya-saras@dyneits.com
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.