🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
We are seeking an experienced Senior Data Engineer to design, implement, and maintain our data infrastructure and pipelines. The ideal candidate will have a strong background in data engineering, big data technologies, and cloud platforms. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient and reliable data processing and storage solutions and who has mind set things to done Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes Implement and optimize data storage solutions, including data warehouses and data lakes Collaborate with data scientists and analysts to understand data requirements and provide efficient data access Ensure data quality, consistency, and reliability across all data systems Develop and maintain data models and schemas Implement data security and access control measures Optimize query performance and data retrieval processes Evaluate and integrate new data technologies and tools Mentor junior data engineers and provide technical leadership Collaborate with cross-functional teams to support data-driven decision-making Requirements Bachelor's or master's degree in computer science, Engineering, or a related field 5+ years of experience in data engineering or related roles Strong programming skills in Python, Java, or Scala Extensive experience with big data technologies such as Hadoop, Spark, and Hive Proficiency in SQL and experience with both relational and NoSQL databases Experience with cloud platforms (AWS, Azure,) and their data services Knowledge of data modeling, data warehousing, and ETL best practices Strong problem-solving skills and attention to detail Excellent communication and collaboration skills as well Preferred Qualifications Experience with stream processing technologies (eg Kafka, Flink or delta live table ) Familiarity with data governance and compliance requirements Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Contributions to open-source projects or relevant certifications Experience in Tencent big data platform Experience in PowerBI will be preferable
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.