TenX is a data-engineering-focused consulting firm built around ETL, data warehousing, and advanced analytics. The tech stack—Talend, Informatica, DataStage, Snowflake, Databricks, plus Python ML libraries (TensorFlow, PyTorch, scikit-learn)—reflects a practice centered on enterprise data platform builds. Hiring skews heavily toward senior and lead data roles across Pakistan and Estonia, while active projects target data marts, warehouse implementations, and multi-cloud strategy—suggesting deep specialization in data infrastructure rather than generalist consulting.
TenX operates as a global tech agency blending AI consulting, data analytics, and cloud services for mid-market and enterprise clients. Founded in 2015 and headquartered in Stamford, Connecticut, the company scales between 201–500 employees. The work centers on building and optimizing data platforms: designing data models, developing ETL pipelines, implementing enterprise data warehouses, and deploying advanced analytics solutions. They also function as a product lab and strategic investor. Recent project focus includes hybrid multi-cloud data strategy and addressing challenges around integration across platforms, cost-efficiency, and adapting to rapid requirements changes.
TenX primarily works with Talend, Informatica, IBM DataStage, and SQL Server Integration Services for ETL; Snowflake and Databricks for warehousing and analytics; and Python libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch) for data science and ML.
Yes. TenX has 7 active roles, 6 in data and 1 in engineering. Most positions target senior and lead levels. They are actively recruiting in Pakistan and Estonia.
Current projects include enterprise data warehouse implementation, ETL development, data mart and custom data model design, A/B testing frameworks, business intelligence tool evaluation, and hybrid multi-cloud data strategy.
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