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We are looking for an experienced Azure Databricks Engineer with robust hands-on expertise in Python, SQL, and Apache Spark to design, build, and optimize scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate should have experience working with large datasets, distributed data processing, and up-to-date data engineering practices. Responsibilities Design, develop, and maintain scalable data pipelines using Azure Databricks Implement ETL/ELT workflows using PySpark, Spark SQL, and Python Optimize Spark jobs for performance, cost, and scalability Work with structured and semi-structured data (Parquet, Delta, JSON, CSV) Build and manage Delta Lake tables (ACID, time travel, schema evolution) Integrate Databricks with Azure Data Lake Storage (ADLS Gen2) Develop complex queries and transformations using SQL Collaborate with data scientists, analysts, and stakeholders to support analytics and ML use cases Ensure data quality, validation, and monitoring Follow best practices for security, access control, and governance in Azure Qualifications 6+ years of experience in Data Engineering Robust hands-on experience with Azure Databricks Proficiency in Python for data processing Strong knowledge of SQL (joins, window functions, performance tuning) Hands-on experience with Apache Spark / PySpark Experience working with Delta Lake Knowledge of Azure Data Lake Storage (ADLS Gen2) Understanding of distributed computing concepts Experience with Git version control Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.