Data Engineer
Location: Ireland and UK (Office/Hybrid/Home-based)
Position Summary:
Are you ready to architect the data foundation that drives our dynamic, consumption-based business model? As a pivotal member of the Consumption Operations team, you will design, build, and maintain the mission-critical data infrastructure that powers our global services.
Success in this role means engineering robust, highly optimized data pipelines that guarantee the absolute quality and reliability of our data. Your work will directly impact the company's bottom line by ensuring 100% accurate, timely usage billing, while also unlocking data-driven insights that empower the entire organization.
Responsibilities:
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Pipeline Engineering: Design, build, and optimize scalable ELT/ETL pipelines to ingest, process, and transform massive volumes of structured and unstructured data.
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Data Integration: Architect and maintain seamless integrations across diverse internal and external data sources, including databases, APIs, and business application software.
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Governance & Security: Champion data integrity and accuracy. Implement rigorous security measures and ensure strict adherence to financial data regulations, including SOX compliance.
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Infrastructure Management: Proactively monitor system performance, troubleshoot bottlenecks, and continuously optimize the data infrastructure for maximum scalability, speed, and cost-efficiency.
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Cross-Functional Collaboration: Partner closely with data scientists, business analysts, and leadership to capture requirements and deliver high-quality, reliable, and curated datasets.
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Continuous Innovation: Maintain comprehensive documentation for data models and pipelines. Stay ahead of industry trends and introduce cutting-edge methodologies and tools to our stack.
Qualifications
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A bachelor’s degree in computer science, Engineering, Mathematics, or a related field, or equivalent practical experience as a Data Engineer.
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3+ years of hands-on experience as a Data Engineer, with a proven, impactful track record in a Data Engineer or heavily related data architecture role.
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High proficiency in writing and optimizing SQL and Python.
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Deep, hands-on experience with modern cloud data platforms and tooling, specifically Snowflake, dbt, Fivetran, and SQL Server.
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Exceptional problem-solving capabilities, meticulous attention to detail, and the ability to thrive both autonomously and within a highly collaborative remote team.
What We Offer:
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A great Team and culture – please see our colleague video.
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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.
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An attractive salary and benefits package.
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A commitment to inclusion, belonging, and colleague well-being through global initiatives and resource groups.
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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.
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