Data Engineer
Date: Sep 19, 2025
Location: Remote, IN
Company: Bentley Systems
Data Engineer
Location-India
Position Summary:
Bentley Systems is hiring a Data Engineer for our Data Office with experience across the entire Cloud Data stack. The ideal candidate will have experience in data pipelines (ELT/ETL), data warehousing and dimensional modeling, and curation of data sets for Data Scientists and Business Intelligence users. This candidate will also have excellent problem-solving ability to deal with large volumes of data.
Responsibilities:
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Build scalable Cloud data solutions using MPP Data Warehouses (Databricks, Snowflake and/or Azure Data Warehouse/Synapse), data storage (Azure Blob Storage)
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Create and maintain optimized/efficient data pipelines and transformations (ELT – Matillion, FiveTran, ADF)
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Write complex SQL queries, stored procedures, etc.
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Create data integrations with scripting languages such as Python a plus
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Design data models for the data warehouse.
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Focused on data quality.
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Work as part of the Data Office Architecture and Engineering team to support the data management and engineering needs of the organization.
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Work iteratively with the business to understand and accurately deliver on their needs.
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Provide estimates, project and deliverable status, and communicate to managers.
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Work with a globally distributed team and be comfortable with tools such as Teams/Zoom for meetings and communication and organizing development tasks remotely.
Qualifications:
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Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field. Commensurate work experience will be considered in lieu of degree
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Experience building scalable Cloud data solutions using MPP Data Warehouses (Snowflake, Databricks, Redshift, or Azure Data Warehouse/Synapse), data storage (S3 or Azure Blob Storage) and analytics platforms (i.e. Spark, Databricks, etc.)
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2+ years with complex SQL queries and scripting
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1+ years' experience with Databricks
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2+ years developing, and deploying scalable enterprise data solutions (Enterprise Data Warehouses, Data Marts, ETL/ELT workloads, etc.)
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2+ years of supporting business intelligence and analytic projects
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Excellent written and oral communication skills
Desired Skills:
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Familiarity with Power BI
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Analytics platforms a plus (i.e. Spark, Databricks, etc.)
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Scripting languages such as Python a plus
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Good understanding of code repositories such as GIT a plus
What We Offer:
- A great Team and culture – please see our colleague video.
- An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start.
- An attractive salary and benefits package.
- A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups.
- A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact.
About Bentley Systems
Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com
Equal Opportunity Employer:
Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.
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