🎁 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 →
Job Description: We are seeking a high-performing Assistant Manager - Data Engineering to take ownership of our scalable data pipelines and drive enterprise analytics initiatives. Responsibilities: Engineering Execution & Pipeline Mastery High-Fidelity Pipeline Development: Lead the end-to-end engineering of incremental ETL/ELT pipelines. You will manage the ingestion of terabyte-scale financial data, ensuring low-latency delivery and 100% accuracy. Medallion Layer Implementation: Be the primary owner of the Gold Layer. You will translate business logic into highly optimized Fact and Dimension tables, ensuring they are structured for maximum query efficiency in Big Query. Infrastructure Scoping & Design: Partner with Architects and Product Managers to decompose complex business requirements into technical specs. You define the \"how\" for your engineering pod. Migration Management: Drive the tactical execution of migrating legacy architectures to modern, automated frameworks. You will replace fragile, manual processes with robust, code-driven workflows. Quality, Reliability & Mentorship CI/CD & Data Ops: Champion a \"Shift Left\" approach to data quality. You will implement automated unit/integration tests and CI/CD pipelines to ensure that no \"bad data\" ever reaches production. Performance Engineering: Act as the final word on Big Query performance tuning. You will oversee partitioning, clustering, and SQL optimization to ensure our compute costs stay low and our dashboards stay rapid. Technical Mentorship: Lead by example. You will conduct rigorous code reviews, mentor junior engineers, and foster a culture of engineering excellence within your team. Skills: SQL & Python, Pipeline Orchestration (Airflow/Composer), Dataflow (Apache Beam), Data proc (Spark), Incremental Loading Patterns Star Schema, Snowflake Schema, and Medallion Architecture (Bronze/Silver/Gold) .
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.