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We are seeking a skilled Data Engineer to design and build reusable and configurable data pipelines using a mix of standard cloud-based and proprietary data platforms. This role involves collaborating with data scientists to develop AI/ML proofs of concept into full implementations, creating documentation, and providing informal training to data analysts. You will also work closely with other engineering and product teams and provide guidance to more junior data engineers. What You'll Do: Design and build reusable and configurable data pipelines using a mix of standard cloud-based and proprietary data platforms. Work with a data scientist to develop AI/ML proofs of concept into full implementations. Create documentation and provide informal training for data analysts on the configuration and use of tools and pipelines. Work with other engineering and product teams to understand proprietary platforms and provide input and feedback. Provide guidance to more junior data engineers on best practices. Work with security teams to ensure that all servers, platforms, and other resources meet security requirements. Requirements: BS degree in Computer Science, Engineering, or a related subject. 4+ years of experience in Data Engineering roles. Experience developing sophisticated data pipelines in cloud-based settings (e.g., AWS) using scalable data processing tools (e.g., Apache Spark). Data modeling experience. Demonstrated ability to work with others, particularly providing guidance to other data engineers. Ability to communicate around complex ideas and topics in English with both technical and non-technical individuals. Nice to Have: Familiarity with Agile methodologies. DevOps skills, especially CI/CD experience. Configuring and maintaining cloud-based cluster computing resources and orchestration systems (e.g., EC2 instances, Kubernetes clusters, Elastic Beanstalk). .
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.