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What You ll Do: Establish formal data practice for the organisation. Build operate scalable and robust data architectures. Create pipelines for the self-service introduction and usage of current data. Implement DataOps practices Design, Develop, and operate Data Pipelines which support Data scientists and machine learning Engineers. Build straightforward, highly reliable Data storage, ingestion, and transformation solutions which are easy to deploy and manage. Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts. Who You Are: Bachelor s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University. 1+ years of experience in building and running data pipelines for tons of data. Experience in designing, developing and operating configurable Data pipelines serving high volume and velocity data. Experience working with public clouds like GCP/AWS. Good understanding of software engineering, DataOps, data architecture, Agile and DevOps methodologies. Experience building Data architectures that optimize performance and cost, whether the components are prepackaged or homegrown. Proficient with SQL, Java, Spring boot, Python or JVM-based language, Bash. Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc. Positive communication skills with the ability to collaborate with both technical and non-technical people. Someone who thinks big, takes chances, innovates, dives deep, gets things done, hires and develops the best, and is always learning and curious. 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.