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We’re reinventing the market research industry. Let’s reinvent it together. At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks on Azure Cloud services, DevOps, and CI/CD tools, along with a solid understanding of AI/ML techniques and big data processing frameworks like Apache Spark and PySpark. Responsibilities Adhere to coding and Numerator technology standards Build suitable automation test suites within Azure DevOps Maintain and update automation test suites as required Carry out manual testing, load testing, exploratory testing as required Work closely with Business Analysts and Senior Data Developers to consistently achieve sprint goals Assist in estimation of sprint-by-sprint stories and tasks Pro-actively take a responsible approach to product delivery What You'll Bring to Numerator Requirements 7-10 years of experience in data engineering roles Good Python skills Experience working with Microsoft Azure Cloud Experience in Agile methodologies (Scrum/Kanban) Experience with Apache Spark, PySpark, Databricks Experience working with Devops pipeline, preferably Azure DevOps Preferred Qualifications Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field. Experience working in a support focused role Knowledge/experience in AI ML techniques Certification in relevant Data Engineering discipline or related fields.
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.