Data Engineer

Data Engineer

Location: Europe-based (Office/Hybrid/Remote)

Are you passionate about turning data into actionable insights? We are looking for a Data Engineer to join our Data Office and help build the foundation for scalable, cloud-native data solutions that empower our teams globally. This is a fantastic opportunity to work with cutting-edge technologies and collaborate with data scientists, analysts, and business stakeholders to drive innovation and impact.

Responsibilities:

• Develop and maintain cloud-based data pipelines using tools like Matillion, FiveTran, and Azure Data Factory.
• Build scalable solutions using MPP Data Warehouses (Snowflake, Databricks, Azure Synapse) and Azure Blob Storage.
• Write and optimize complex SQL queries and stored procedures.
• Integrate data using Python and other scripting languages.
• Design and implement dimensional data models for analytics and reporting.
• Ensure data quality, consistency, and reliability across platforms.
• Collaborate with cross-functional teams to understand business needs and deliver tailored data solutions.
• Communicate project status, timelines, and deliverables to stakeholders.
• Thrive in a remote-first, globally distributed team using tools like Teams and Zoom.

Qualifications:

• A Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience.
• 3+ years of hands-on experience building scalable cloud data solutions using platforms such as Snowflake, Databricks, Redshift, or Azure Synapse, and cloud storage like S3 or Azure Blob Storage.
• Strong command of SQL, with experience writing complex queries and stored procedures.
• 1+ years of experience working with Databricks in a production environment.
• Proven ability to design, develop, and deploy enterprise-grade data solutions, including data warehouses, data marts, and ETL/ELT pipelines.
• Experience supporting business intelligence and analytics projects, working closely with data consumers to deliver curated datasets.
• Excellent written and verbal communication skills, with the ability to collaborate across technical and non-technical teams.

Bonus Skills (Nice to Have):

• Familiarity with Power BI for data visualization and reporting.
• Experience with Spark or other advanced analytics platforms.
• Proficiency in Python or other scripting languages for data integration and automation.
• Understanding of version control systems like Git.

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 a 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.

#LI-VP

#LI-Remote

#LI-Hybrid