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About the job Infinity Labs R&D is seeking motivated STEM & Economics graduates, alongside highly analytical individuals with a strong technical/quantitative background , to join a distinct entry-level career path through a unique training program focused on Data Engineering and large-scale data systems, designed to prepare participants for future junior data engineering positions, subject to successful completion of the program. You will work in environments that simulate real R&D teams, gaining hands-on experience with modern data infrastructures, data pipelines, and production-grade systems used by leading technology organizations. This opportunity begins with a comprehensive practical development track, provided at no cost to the participant and operated by the company as part of its professional training initiative, designed to expose participants to real-world data engineering challenges and workflows. You will gain hands-on experience in: Data pipeline design, development, and maintenance Data ingestion, processing, and transformation (ETL / ELT) SQL and data modeling for large-scale systems Big data frameworks and distributed data processing Batch and streaming architectures Cloud-based data platforms and infrastructure integration Collaboration within agile, cross-functional engineering teams Infinity Labs R&D has a proven track record of placing graduates in impactful data and engineering roles across Israel’s high-tech ecosystem. Graduates of this path who successfully complete the training have been placed in data engineering and data infrastructure positions at leading companies, progressing rapidly from junior roles to core team members. Key Skills and Qualities: We are looking for candidates with strong analytical abilities, system-level thinking, and scientific curiosity. Ideal applicants will demonstrate: Critical thinking and strong problem-solving abilities Clear and effective communication skills Ability to explain and translate data insights to different audiences Hands-on mindset and willingness to work directly with raw data Strong sense of ownership and service-oriented approach Ability to collaborate effectively within cross-functional teams Motivation to build a long-term career in data engineering No prior professional data engineering experience required Requirements: B.Sc. / B.A. in Economics, Statistics, Computer Science, Engineering, or related fields OR a proven independent quantitative/technical background. High psychometric score (700+) or strong quantitative academic indicators - a major advantage. High level of English. Strong analytical skills, logical reasoning, and self-learning ability. Ability to demonstrate high level of commitment, intensive learning capacity, and full engagement in the career preparation program. This is an excellent opportunity to launch a long-term career in data engineering and work on large-scale, data-driven systems at Israel’s leading technology companies. Participation in the program does not guarantee employment. Any future job offer is conditional upon successful completion of the training program, professional evaluation, and the availability of suitable positions. #DataEngineering #BigData #STEM #EntryLevel #TechJobs #CareerStart #GraduateJobs #Hiring
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.