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About the roleWe are looking for a Data Engineer to join a clientfocused engagement, splitting time evenly between production support and new development. The role combines daytoday pipeline maintenance with the design and optimisation of scalable data solutions.Key responsibilitiesProvide 50% of your time supporting existing data pipelines, monitoring, troubleshooting and resolving incidents.Design, build and maintain the remaining 50% of scalable ETL/ELT workflows using Python, SQL and Spark.Collaborate with crossfunctional and client teams to translate data requirements into technical solutions.Perform rootcause analysis on pipeline failures and implement fixes with minimal downtime.Optimise data workflows for performance, reliability and costefficiency.Document architecture, processes and support runbooks for knowledge continuity.Participate in oncall rotations and support the client environment as needed.Work with Databricks and/or AWS cloud services to build or support data solutions.Required profile24 years of handson experience in a Data Engineering role.Strong proficiency in Python and SQL.Practical experience with Apache Spark.Prior experience on clientbased projects (mandatory).Ability to balance operational support with development tasks.Excellent problemsolving and communication skills for clientfacing situations.Required skillsPythonSQLApache SparkDatabricks (preferred)AWS services such as S3, Glue, EMR, Lambda, Redshift (preferred)CI/CD pipelines for data engineering (preferred)Workflow orchestration tools like Airflow (preferred)What we offerCompetitive salary and a strong insurance package.Extensive learning and development resources to support career growth. .
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.