🎁 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 →
About UsCapco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACTInnovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORKCapco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENTWith no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSIONWe believe that diversity of people and perspective gives us a competitive advantage. Job Descriptionole Overview We are looking for a highly skilled Data Engineer with strong expertise in Python and Azure Databricks to design, build, and optimize scalable data pipelines and modern data platforms. The ideal candidate will have hands-on experience in cloud-based data engineering, big data processing, and data transformation using Azure services and Databricks. Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Python and Azure Databricks.Build and optimize ETL/ELT workflows for ingesting, transforming, and processing large datasets.Develop data solutions using Apache Spark within the Databricks environment.Integrate data from multiple structured and unstructured sources.Ensure data quality, reliability, security, and governance across data platforms.Collaborate with Data Scientists, Analysts, Architects, and Business stakeholders to deliver data solutions.Implement performance tuning and optimization for large-scale data processing workloads.Develop and maintain data models, metadata management, and documentation.Monitor and troubleshoot production data pipelines and resolve data-related issues.Support CI/CD implementation and deployment automation for data engineering solutions.Required Skills & QualificationsBachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.4+ years of experience in Data Engineering.Strong hands-on programming experience in Python.Expertise in:Azure DatabricksApache Spark (PySpark)SQLDelta LakeExperience with Azure data services:Azure Data Factory (ADF)Azure Data Lake Storage (ADLS)Azure Synapse AnalyticsAzure Key VaultStrong understanding of data warehousing concepts and dimensional modeling.Experience building and maintaining batch and real-time data pipelines.Knowledge of Git, CI/CD pipelines, and DevOps practices.Experience working in Agile development environments.If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube. .
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.