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We’re hiring a Data Engineer to join a Data R&D team working on advanced AI and large-scale data projects. Elad Software Systems specialize in managing and executing end-to-end projects and offer business solutions in order to help companies strengthen their relationship with end-client and improve the company’s customer experience using impeccable innovative and quality solutions. We work through three different channels: Data | CRM | Digital Our Advantage – As a project driven company that had worked in all possible fields in the market, we’re always at the forefront of technology, employ all methods and know all the available tools. In fact, this allows us to create relevant and tailor-made solutions that can answer any need or challenge you might encounter on your way to reach your business goals. Our Team – We know exactly why we call our experts the Dream Team; each and every personnel in our staff is a professional in their field, who takes you on a joint process and runs your project from end-to-end. It is important to us to keep researching the field, monitor, process and check in order to produce effective results. The role includes designing and developing complex data pipelines, ingesting and processing large volumes of data, and collaborating closely with Data Scientists in both cloud and on-prem environments. Requirements: At least 3 years of experience as a Data Engineer Strong hands-on experience with Python, OOP, and complex ETL processes Practical experience with Spark and large-scale data processing Cloud experience, preferably AWS Experience with data formats and partitioning techniques such as Parquet, Avro, HDF5, or Delta Lake Familiarity with Docker, Linux, CI/CD, Kubernetes, Airflow, or Kubeflow Bachelor’s degree in Computer Science, Engineering, Mathematics, or Statistics Understanding of Machine Learning concepts and workflows Experience with AWS Glue, Step Functions, Lambda, Redshift, Kafka, APIs, Microservices, SageMaker, or GenAI solutions is a significant advantage.
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.