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About the Role We are looking for a highly skilled Senior Consultant Data Engineer to join our engineering team and work on building large-scale, real-time data systems. This role is ideal for engineers who enjoy solving complex distributed systems challenges, building scalable platforms, and operating in rapid-paced product environments. The ideal candidate should be deeply hands-on, capable of driving technical decisions independently, and comfortable working across data, backend, and infrastructure layers. This is not a traditional ETL or reporting-focused role. We are looking for strong engineering talent with deep ownership, debugging capabilities, and systems-level thinking. What Youll Do Design and build scalable, high-performance data platforms and pipelines Work on distributed data systems across both batch and real-time processing Take end-to-end ownership from architecture and development to deployment and optimization Debug, optimize, and extend open-source data systems Solve infrastructure and systems-level problems, beyond just tool usage Collaborate across teams and drive data engineering best practices What Were Looking For 7+ years of experience in Data Engineering or Data Platform roles Robust understanding of distributed systems, data storage, and compute layers Ability to design systems from first principles, not just work with existing tools Hands-on experience with open-source or self-managed architectures Solid programming skills in Python or Go (Golang) Experience with system design, performance tuning, and debugging at scale Nice to Have Backend engineering experience (APIs, services, and system design) Experience with infrastructure management and deployments Exposure to high-scale or real-time systems Key Skills Query & OLAP: Trino, ClickHouse, Apache Pinot Batch & Stream Processing: Apache Spark (OSS), Apache Flink (OSS) Table Format: Apache Iceberg Cataloging: AWS Glue Cloud: AWS L .
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.