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Position Overview: We are seeking a Data Engineer to join a client-focused engagement, with responsibilities split evenly between production support and technical/development work. This role requires 2-4 years of hands-on experience in data engineering, strong proficiency in Python, SQL, and Spark, and prior exposure to client-based project environments. The ideal candidate will be comfortable balancing operational support duties with building and optimizing data pipelines. Job Responsibilities: Provide day-to-day support (50%) for existing data pipelines, jobs, and platforms —monitoring, troubleshooting, and resolving issues to ensure smooth operations Design, build, and maintain (50%) scalable data pipelines and ETL/ELT workflows using Python, SQL, and Spark Collaborate with cross-functional and client teams to understand data requirements and translate them into technical solutions Perform root-cause analysis on data/pipeline issues and implement fixes with minimal downtime Optimize existing data workflows for performance, reliability, and cost-efficiency Document processes, pipeline architecture, and support runbooks for knowledge continuity Participate in on-call/support rotations as needed for the client engagement Work with Databricks and/or AWS cloud environments where applicable to build or support data solutions Basic Qualifications: 2-4 years of experience in a Data Engineering role Strong proficiency in Python and SQL Hands-on experience with Apache Spark Prior experience working on client-based projects (mandatory) Ability to work across both support and development responsibilities Strong problem-solving and communication skills for client-facing situations Preferred Skills: Experience working with Databricks Familiarity with AWS Cloud services (e.g., S3, Glue, EMR, Lambda, Redshift) Exposure to CI/CD pipelines for data engineering workflows Experience with workflow orchestration tools (e.g., Airflow) We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
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.