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We are seeking a detail-oriented and highly motivated Data Engineer to join our growing Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure that power insights across the organization. Youll work closely with data scientists, analysts, and engineers to ensure the integrity, accessibility, and scalability of our data systems. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes.Build and optimize data architecture to ensure data quality and consistency.Integrate data from diverse internal and external sources.Collaborate with cross-functional teams to define data requirements and deliver solutions.Implement best practices for data governance, security, and compliance.Monitor pipeline performance and perform real-time troubleshooting of data issues.Participate in code reviews and contribute to documentation and standards.Required Qualifications & Skills: Bachelors degree in computer science, Engineering, or a related field (or equivalent practicalexperience). 5+ years of professional experience in data engineering.Solid understanding of SQL and proficiency in at least one programming language, such as Python,Java, or Scala. Practical experience building and maintaining data pipelines using tools like Apache Airflow orDBT. Hands-on experience with cloud platforms (AWS, GCP, Azure) and data warehousing solutions(Redshift, BigQuery, Snowflake). Familiarity with big data technologies and frameworks, including Spark, Kafka, and Hadoop.Demonstrated ability to solve complex problems with a strong focus on detail.Experience implementing CI/CD practices for data workflows.Working knowledge of data modelling principles and schema design.Exposure to machine learning pipelines or real-time analytics systems is a plusWork Location: In person .
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.