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Data Engineer

Date: Mar 14, 2023

Location: Islamabad, PK, 44000

Company: Bentley Systems

Candidate will be a member of Bentley Commercial Programs: Enterprise Software Licensing and Usage Analytics team. The position involves cloud based operational development and maintenance of enterprise licensing data infrastructure and  building scalable/ robust data systems. Candidate should be comfortable working within a core team  interfacing with internal/ external stakeholders.



  • Building Data systems using Microsoft Azure Cloud technologies: Azure Data Factory, Azure Databricks , Azure Data Lakes, Azure Functions
  • Data Engineering involving design, development and maintenance of optimized Data pipelines orchestrating  ETL processes.
  • Data Management of data assets using relational and big data stores i.e. Data Lake, Data warehouse.
  • Defining Data Architecture to shape Data Governance strategy.
  • Build and maintain fully automated CI/CD enabled build/release pipelines.  
  • Collaboration with technical stakeholders to participate in design and development of cross functional systems.
  • Collaboration with Product and Business Intelligence teams to implement business solutions.


  • Bachelors/ Master’s degree in Computer Science.
  • Excellent analytical and problem solving skills.
  • Strong Computer Science Foundation: Algorithms, Data Structures, Object Oriented Programming.
  • Hands on programming experience preferably in  C#, Python.
  • Familiarity with Microsoft .Net Technology stack.
  • Strong understanding of Databases and Transact-SQL .
  • Knowledge of software development best practices: SCRUM, GIT, CI/CD, Test Automation
  • Strong written and verbal communication skills.

Preferred applicants will have:

  • Enthusiasm for building cloud based data systems and applications.
  • Understanding/ Experience of Microsoft Azure Cloud, Azure Data Lake, Azure Data Factory, and SQL Databases or equivalent products from other cloud services providers (e. g. AWS
  • Understanding/ Experience of Big Data Engines: Spark, Hadoop
  • Experience in database development projects and ETL processes.
  • Experience implementing RESTful services in ASP.Net, Python, Ruby etc.
  • Hands on with scripting languages: PowerShell, Python.

Job Segment: Data Architect, Engineer, Data Management, Data, Engineering