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We're Hiring: Data Engineer to Join Our AI Team! 📍 Lod | Hybrid - 1 day WFH Join a team building the data infrastructure behind cutting-edge AI projects! You'll be responsible for ingesting large volumes of new data, gaining deep understanding and insight into it in close collaboration with Data Scientists, and designing and developing critical, large-scale data processes - both in cloud and on-prem environments. Requirements: ✅ At least 3 years of experience as a Data Engineer - required ✅ 3 years of experience with Object-Oriented Programming (OOP) languages - required ✅ 3 years of experience with Python - required ✅ Hands-on experience with Spark for large-scale data - required ✅ BSc in Computer Science, Engineering, Mathematics, or Statistics - required Nice to have: ⭐ At least 2 years of hands-on experience with AWS services such as Athena/Glue/Step Functions/EMR/Redshift/RDS - significant advantage ⭐ Deep understanding of designing, developing, and optimizing complex solutions for transferring/processing large data volumes ⭐ Understanding of optimization techniques and working with partitions across data formats such as Parquet, Avro, HDF5, Delta Lake ⭐ Experience with Docker, Linux, CI/CD tools, and Kubernetes ⭐ Experience with data pipeline tools such as Airflow, Kubeflow ⭐ Understanding of machine learning concepts and processes ⭐ Familiarity with GenAI solutions / prompt engineering - advantage Team notes: ⭐ AWS experience with core services - Glue, Step Functions, Lambda, SQS/SNS; familiarity with Redshift and Kafka, and working with APIs is a significant advantage. Candidates without any cloud environment experience won't be relevant. ⭐ Extensive experience writing functional Python code and complex ETL processes, including building generic frameworks/templates for managing ETL workflows (controls, generic process management, parameterization, etc.) ⭐ Experience deploying services - significant advantage; experience deploying models on SageMaker - especially significant advantage ⭐ Experience writing microservices - 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.