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Our client is looking for an experienced Senior / Lead Data Engineer to join their growing Data Engineering team. This role is responsible for designing and delivering scalable cloud-based data solutions, leading technical initiatives, and mentoring engineers while driving best practices across enterprise data platforms. RequirementsKey Responsibilities Design, build and optimise enterprise data pipelines and data platforms. Develop scalable cloud-native data engineering solutions. Collaborate with business and technical stakeholders to deliver data-driven solutions. Define and maintain data architecture and engineering standards. Drive DevSecOps and CI/CD best practices. Mentor and coach Data Engineers. Ensure data quality, governance and platform reliability. Participate in Agile ceremonies and technical planning. Drive continuous improvement and innovation across the data environment. Requirements Bachelor's Degree or Diploma in Computer Science, Engineering, Mathematics, Information Systems or similar. 8+ years' experience in Data Engineering or Software Engineering. Strong experience with Business Intelligence and Data Warehousing. Advanced SQL skills. Expert knowledge of Python and PySpark. Experience with Hadoop and Apache Spark. Strong AWS experience, including EMR, S3, Athena, RDS, Lambda and API Gateway. Good understanding of SDLC, Solution Architecture and DevSecOps. Experience with Azure, Google Cloud Platform and Snowflake is advantageous. Previous experience leading or mentoring engineering teams. Retail or FMCG industry experience is essential. Technical Skills Python PySpark SQL AWS Hadoop Apache Spark Data Warehousing Business Intelligence ETL / ELT Snowflake Azure Google Cloud Platform DevSecOps CI/CD Solution Architecture Desired Skills: AWS Python PySpark Apache Spark SQL Desired Qualification Level: Degree About The Employer:
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.