🎁 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 →
- Collaborate with Ecommerce BI Analysts to understand business needs and translate them into productive data structures. - Enable analysts to focus on delivering insights by ensuring timely access to curated, high-quality datasets. - Partner with Data Engineers to ensure data availability in staging environments. - Own the transformation layer between staging and analytics-ready datasets, applying business logic to create trusted sources for analysis. - Develop and manage layered transformation workflows that promote modularity, traceability, and alignment with governance and AI-readiness standards. - Build and maintain structured, reusable datasets using dbt or similar transformation tools, applying scalable logic to support analytics across ecommerce products. - Maintain documentation, testing protocols, and data quality standards. - Ensure data and models from on-prem applications, Google Analytics and other sources support key ecommerce metrics related to site search, customer behavior, product performance, and other relevant measures. - Lead development of scalable, modular data models (staging, intermediate, mart) that support traceability and reduce duplicative effort. - Optimize transformation logic for performance and maintainability. - Define and enforce documentation and lineage standards for analytics datasets. - Work closely with cross-functional product teams to ensure data models align with customer experience goals and ecommerce KPIs. - Experience supporting multi-domain and multi-language international ecommerce websites. - Moderate SQL proficiency and understanding of data modeling principles. - Experience with Alteryx or similar ETL platforms. - Ability to optimize data models for performance and usability. - Strong communication skills and ability to work cross-functionally. - Advanced SQL skills and experience with performance tuning. - Strong understanding of ecommerce metrics and digital product data needs. - Ability to lead data modeling efforts and mentor junior engineers. - Strong understanding of data governance and documentation best practices. - Strong skills in mathematics. - Strong attention to detail. - Solid organizational skills, ability to handle multiple projects and meet deadlines. - Good presentation, oral, and written communication skills. - Communicate clearly and concisely with technical and non-technical stakeholders. - Highly effective in working within teams with wide target audiences. - Understanding of basic web programming principles, tools, and technologies. - Experience with data that explains user behavior. - Bachelors degree in a related field or equivalent related work experience. Masters degree preferred. - 2+ to 7+ years of combined experience with dbt or similar transformation tools based on level. - 2+ to 7+ years of experience with cloud data platforms and scalable data modeling based on level. 6+ years digital analytics data (Google Analytics Preferred) experience required. This is a summary of the primary accountabilities and requirements for this position. The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs. Any part of this job description is subject to possible modification to reasonably accommodate individuals with disabilities .
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.