🎁 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 →
WHO YOU’LL WORK WITH You will be a part of the larger Global Technology organization working on Nike’s internal product tools and report to the team’s Engineering Director. You will work day-to-day with a team of engineers, the team’s Technical Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals. WHO WE ARE LOOKING FOR We’re looking for a Lead Data Engineer to solve complex software engineering problems supporting Nike’s pursuit of delivering state of the art tools to our Consumer Product and Innovation (CP&I) community. The candidate needs to be highly collaborative with peers, productive in a fast-paced development environment and have depth of native cloud software engineering experience. WHAT YOU’LL WORK ON You will be part of and leading a team of engineers building out tooling for our Consumer Product & Innovation team members. We are investing in building modular, configurable and “API-First” capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members. Experience leading teams in a highly collaborative environment Bachelor’s degree in computer science, Engineering, Information Systems, or similar field, or relevant professional experience in lieu of a degree 8+ years of hands-on industry data engineering experience Proficiency in SQL, Spark, Python Hands-on experience with Databricks, AWS, Snowflake Demonstrated strength in data modeling, ETL development, and data streaming. Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, S3 Demonstrated expertise in Java, with understanding of JavaScript/TypeScript, Node.js Experience with React, Vue.js, or Angular for data visualization dashboards Demonstrated expertise in API development using REST/GraphQL APIs for data services Strong understanding of microservices architecture and architectural design patterns Experience with CI/CD and leading teams with DevOps responsibilities for deploying and supporting software in production Experience with implementing and integrating AI, Machine Learning and related data solutions
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.
