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Design, build, and maintain scalable data pipelines for collecting, processing, and storing large volumes of business data Develop ETL processes to integrate data from various sources, including web scraping, APIs, and third-party data providers Implement data quality checks and monitoring systems to ensure data accuracy and integrity Optimize data storage and retrieval processes for high performance and scalability Collaborate with data scientists to implement machine learning models in production settings Work with the backend team to design and implement APIs for data access Collaborate with data scientists to develop and deploy machine learning models. Implement data security and privacy measures to protect sensitive information. Stay up to date with the latest big data technologies and best practices Requirements Bachelor s or Master s degree in Computer Science, Engineering, or a related field 4+ years of experience in data engineering roles Solid programming skills in Python, Scala and/or Java Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra) Proficiency with big data technologies such as Apache Spark, Hadoop, and Kafka Experience with cloud platforms (AWS, GCP, or Azure) and their data services Familiarity with data warehousing concepts and ETL processes Experience with data warehousing solutions (e.g., AWS Redshift, Snowflake). Knowledge of data modelling, data architecture, and data pipeline design Experience with version control systems (e.g., Git) and CI/CD practices Excellent problem-solving skills and attention to detail Preferred Qualifications Experience in the B2B data or sales intelligence industry Familiarity with web scraping techniques and tools Knowledge of data privacy regulations (e.g., GDPR, CCPA) Experience with real-time data processing and streaming architectures Kindly share your updated resume Your email address will not be published. Save my name, email, and website in this browser for the next time I comment. Recaptcha requires verification. We are online! Hello , how can I help you today Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.