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We are looking for a Trainee Big Data Engineer who is interested in starting a career in Data Engineering. You will join an experienced data engineering team and have the opportunity to learn how data is collected, processed, transformed, and prepared for analytics. You will work with Python, SQL, and modern Big Data technologies while receiving guidance and support from experienced engineers. Commercial experience is not required — we are happy to consider candidates with knowledge gained through university studies, courses, internships, or personal projects. This is a great opportunity to gain practical experience with real-world data and learn how modern data engineering solutions are built. Responsibilities: Assist with building and maintaining data pipelines. Work with data from different sources. Help clean and transform data. Write basic SQL queries. Use Python for data processing. Participate in data quality checks and troubleshooting. Learn and work with Big Data technologies such as PySpark / Apache Spark. Collaborate with experienced Data Engineers and Data Analysts. Learn and apply best practices in data engineering. Requirements: Basic knowledge of Python. Basic knowledge of SQL. Basic understanding of relational databases. Understanding of basic data processing and ETL/ELT concepts. Familiarity with data structures and algorithms. Basic understanding of cloud computing. Strong interest in Data Engineering and Big Data. English — Upper-Intermediate (B2) or higher. Would Be a Plus: Basic knowledge of PySpark / Apache Spark. Familiarity with Palantir Foundry or Databricks. Understanding of data warehouses or data lakes. Basic knowledge of data modeling. Experience with Git. University degree or ongoing studies in Computer Science, Data Engineering, Mathematics, or a related field. Academic, personal, internship, or course projects related to Python or Data Engineering. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers
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.