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About the role An international consulting company serving clients across distribution, IT services, and finance is building a modern data and AI platform, and we are looking for a hands-on Data Engineer to own the inventory, supply chain, and planning data behind it. You will turn ERP operational data and external signals into decision-grade datasets for S&OP;, demand forecasting, and inventory optimization working primarily in Snowflake, alongside ERP, BI, and analytics teams. This is a permanent, build-focused role. Role & responsibilities: Build and maintain ETL/ELT pipelines ingesting ERP operational data purchase orders, inventory movements, goods receipts, supplier master, intercompany flows into Snowflake Model supply chain and inventory domains: stock positions, lead times, demand history, fill rates, days-of-supply, and aging Engineer the data foundations for S&OP;, demand forecasting, and inventory optimization use cases Build curated, governed datasets feeding BI dashboards for supply chain, planning, and operations stakeholders Integrate third-party and event-driven sources (logistics, supplier feeds, EDI flows) into centralized operational models Develop feature pipelines for forecasting, anomaly detection, and inventory ML models in partnership with analytics teams Implement data quality, reconciliation, and lineage tracking for high-stakes operational and inventory data Preferred candidate profile: 2+ years of hands-on data engineering, ideally with supply chain, inventory, manufacturing, or operations data Strong SQL and Python; production ETL/ELT experience Hands-on Snowflake: modeling, Snowpipe, Streams, Tasks, Agile Tables, cost optimization Experience integrating ERP operational data from a major enterprise ERP platform into an analytics environment Working knowledge of supply chain concepts: demand planning, S&OP;, safety stock, lead time, fill rate, days-of-supply Familiarity with orchestration (dbt, Airflow, Prefect) and BI delivery Must be able to work in office in Delhi or Hyderabad Global footprint with offices in Canada, Europe, Singapore, and India. Full time, permanent. On-site Delhi or Hyderabad. .
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.