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Job Summary We are looking for a Senior Data Engineer / Senior Specialist with 7–11 years of experience in Python and Google Cloud Platform (GCP) . The ideal candidate should have hands-on experience in developing and optimizing data pipelines, building scalable data solutions using GCP services, and delivering data analytics solutions. The role requires expertise in Python, DataProc, Dataflow, Data Fusion, Dataform, DMS, SQL, and ETL/ELT pipelines , along with the ability to collaborate with cross-functional teams and mentor junior engineers. Job Description Develop, maintain, and optimize data pipelines using Python for data analytics. Design and implement scalable data solutions using Google Cloud Platform (GCP). Utilize GCP services such as DataProc, Database Migration Service (DMS), Dataform, Data Fusion, and Dataflow. Analyze large datasets to generate actionable insights and support data-driven decision-making. Collaborate with cross-functional teams to integrate data analytics solutions into business processes. Ensure data quality, integrity, security, and governance throughout the data lifecycle. Stay updated with the latest advancements in Python and GCP Data Analytics technologies. Roles & Responsibilities Lead the design and implementation of data analytics solutions using Python and GCP. Architect, develop, and manage end-to-end data workflows using DataProc, DMS, Dataform, Data Fusion, and Dataflow. Build and optimize scalable ETL/ELT data pipelines. Troubleshoot and resolve performance bottlenecks in data processing pipelines. Collaborate with business stakeholders to gather requirements and deliver technical solutions. Mentor junior team members on Python programming and GCP data services. Drive continuous improvements to enhance data processing efficiency, scalability, and reliability.
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.