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Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for whats next. Overview The Enterprise Data Development team is responsible for designing & architecting solutions to integrate & transform business data into Data Warehouse to deliver data layer for the Enterprise using cutting edge cloud technologies like GCP. We design solutions to meet the expanding need for more and more internal/external information to be integrated with existing sources; research, implement and leverage new technologies to deliver more actionable insights to the enterprise. We integrate solutions that combine process, technology landscapes and business information from the core enterprise data sources that form our corporate information factory to provide end to end solutions for the business. Key Accountabilities Design, build, and support cloud-based data pipelines and data models, with GCP preferred Partner with business analysts, architects, and project stakeholders to deliver business initiatives Support existing data warehouses and related jobs Troubleshoot technical and performance issues across the data environment Lead small initiatives and contribute to enterprise project implementation Mentor team members, build domain knowledge, and document processes Evaluate new tools, technologies, and big data processes to improve delivery Drive automation, continuous improvement, and effective problem-solving in ambiguous situations Minimum Qualifications 1012+ years of experience in ETL and data engineering, with at least 4+ years in cloud technologies Proven experience as a technical or project lead for global initiatives Robust ability to mentor developers and guide team delivery Expertise in GCP, BigQuery, SQL, Composer, Cloud Functions, and Data Warehousing concepts Working knowledge of Python, Kafka or Pub/Sub, and data storage tools such as S3 or Blob Storage Strong analytical skills with close attention to detail and delivery accuracy Ability to identify risks, manage timelines, and make timely project decisions Strong communication and stakeholder management skills, with the ability to build effective working relationships Preferred Qualifications GCP Data Engineer certification, GCP certification Understanding of CPG industry ELIGIBILITY Applicants must meet minimum age qualifications in the country in which the job is located. .
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.