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We are seeking skilled Data Engineers to build, and maintain scalable platforms and pipelines that power analytics, reporting, and data products across the organization. You will develop robust ETL/ELT solutions, optimize data workflows, and enable trusted, high-quality data for business intelligence, advanced analytics, and data-driven decision-making. You will translate business requirements into robust database logic, automated data workflows, and insightful dashboards that enable data-driven decision-making across the organization. Depending on experience level, the role will contribute to solution design, development, optimization, and technical leadership within the data services team. Roles And Responsibilities Build, optimize, and manage data ingestion workflows from multiple structured and unstructured data sources. Develop and optimize SQL queries, stored procedures, functions, and views for high-volume relational databases. Design and maintain data models that support analytics, reporting, and data products. Design, develop, and maintain scalable data pipelines using SQL, Python, and modern ETL/ELT frameworks. Perform data profiling, cleansing, validation, and quality monitoring to ensure data accuracy, integrity, and consistency. Optimize database and pipeline performance through indexing, partitioning, query tuning, and workload optimization. Collaborate with Product Managers, and business stakeholders to understand business requirements and deliver analytics-ready data solutions. Support the development and enhancement of data products by delivering reliable, scalable, and governed datasets. Document data pipelines, data models, technical designs, and operational processes in accordance with data governance standards. Implement best practices for data security, governance, metadata management, and compliance. Contribute to automation, reusable frameworks, and continuous improvement initiatives. Qualifications & Experience Bachelor's degree in computer science, Information Technology, and Engineering. 4--10+ years of strong hands-on experience in SQL development, ETL, and BI/reporting. Required Skills & Experience Strong proficiency in SQL (T-SQL / PL-SQL) with advanced query writing and performance tuning. Hands-on experience with ETL/ELT tools such as SSIS, Azure Data Factory, Fivetran, AWS Glue Experience with Azure Data Services, such as: Azure Data Factory, Azure Synapse Azure Data Lake Storage (ADLS), Azure SQL Database, Microsoft Fabric. Hands-on experience with AWS Data Services including AWS Lambda, S3, Athena, Lake Formation & DataZone. Strong programming skills in Python for data engineering and automation. Strong data analysis skills, including data exploration, profiling, validation, KPI development, and translating business requirements into actionable insights. Solid understanding of data warehousing concepts, star/snowflake schemas, and dimensional modeling. Experience supporting or developing data products and understanding the end-to-end data product lifecycle. Preferred Skills Familiarity with version control (Git) and CI/CD for data pipelines. Exposure to Power BI, Service administration, gateways, and workspace management. Understanding of data privacy, retention, and governance frameworks. Competencies Strong communication and stakeholder management skills. Ability to work both independently and collaboratively in a hybrid. Attention to detail and commitment to data accuracy. Adaptability and eagerness to learn new tools and technologies.
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.