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Key Responsibilities Design, develop, and maintain scalable data pipelines and data integration processes. Build and optimise databases for performance, reliability, security, and scalability. Develop efficient SQL queries, stored procedures, and database objects for data processing and reporting. Design and implement data models and database schemas to support business applications and analytics. Manage and maintain PostgreSQL and MongoDB databases, ensuring high availability, backup, recovery, and performance tuning. Work with application developers to integrate databases with enterprise applications. Collaborate with business analysts to build dashboards, reports, and visualisations. Work with structured and unstructured data from multiple data sources. Monitor database health, troubleshoot issues, and implement performance improvements. Evaluate and implement modern data engineering tools and technologies. Maintain technical documentation for databases, data pipelines, and ETL/ELT processes. Qualifications & Experience The ideal candidate should have: 25 years of experience as a Data Engineer, Database Engineer, or a similar role. Strong knowledge of SQL and relational databases such as PostgreSQL or MySQL. Experience writing complex SQL queries for reporting and analytics. Hands-on experience with MongoDB, including schema design, indexing, aggregation pipelines, and query optimisation. Experience in database administration, performance tuning, backup, and recovery will be an added advantage. Strong understanding of data modelling and database design principles. Familiarity with Business Intelligence (BI) tools such as Power BI, Tableau, or Apache Superset. Familiarity with Apache Airflow and Airbyte will be an added advantage. Good understanding of data quality, security, and data governance best practices. .
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.
