🎁 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 Summary: The Senior / Team Lead Data Engineer will be a foundational member of our team, responsible for designing, building, and maintaining scalable and robust data pipelines and infrastructure. This role will be critical in integrating vast and diverse datasets from across our group businesses into a unified data platform. The Senior Data Engineer will ensure data quality, accessibility, and performance, enabling our Data Analysts to derive actionable insights that drive business growth. Key Responsibilities: • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various source systems into our central data warehouse. • Build and optimize data models within the data warehouse (e.g., BigQuery) to support analytical and reporting needs. • Ensure data quality, consistency, and reliability across all integrated datasets. • Implement and manage data governance best practices, including data lineage, metadata management, and access controls. • Collaborate closely with Data Analysts to understand their data requirements and optimize data structures for analytical performance. • Manage and optimize cloud data infrastructure, ensuring scalability, cost-efficiency, and security. • Troubleshoot data-related issues and implement solutions to ensure continuous data flow. • Evaluate and recommend new data technologies and tools to enhance our data platform capabilities. Qualifications: • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field. • Minimum of 7-10 years + of extensive experience in data engineering, building and maintaining large scale data pipelines. • Expert proficiency in SQL and Python for data manipulation, scripting, and pipeline development. • Deep hands-on experience with cloud data platforms, specifically Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Dataflow, Cloud Composer (Airflow), and Pub/Sub. • Strong understanding of data warehousing concepts, data modeling (e.g., Kimball, Inmon), and schema design. • Experience with various data integration patterns (batch, streaming) and tools. • Familiarity with data governance principles and data security best practices. • Excellent problem-solving skills and ability to work with complex, diverse datasets. • Experience with distributed computing frameworks (e.g., Spark) is a plus
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.