Location:
Dublin, Ireland (On-site, Hybrid or Remote)
Position Summary
We are looking for a highly skilled
Senior Software Engineer
to join our team on
Project Insights
, a cutting-edge, data-driven platform delivering
scalable, cloud-native solutions
.
This role is perfect for an engineer with
deep back-end development expertise in C#/.
NET
and a strong background in
big data technologies
, who thrives on solving complex data challenges at scale.
Key Responsibilities
Architect and develop robust back-end services
using
C# and .
NET
, ensuring high performance and scalability.
Design and optimize big data pipelines
and
ETL/ELT workflows
leveraging
Databricks
and
Azure Data Lake
.
Build and maintain
RESTful APIs
, integrating seamlessly with internal and external systems.
Collaborate with
DevOps
to enhance
CI/CD pipelines
and deployment automation.
Deploy and manage
containerized applications
using
Kubernetes (k8s)
for scalable cloud environments.
Ensure
code quality and maintainability
through Git workflows, code reviews, and automated testing.
Actively participate in
Agile ceremonies
, contributing to sprint planning, retrospectives, and daily stand-ups.
Required Qualifications
Expert-level proficiency in C# and .
NET Framework/Core
, including advanced software design patterns.
Proven experience building
high-performance back-end systems
and
API-driven architectures
.
Strong hands-on experience with
Azure Cloud Services
and
cloud-native development
.
Practical knowledge of
big data ecosystems
, including
data lakes
and
distributed data processing
.
Proficiency in
Databricks
,
SQL
, and
Entity Framework
.
Solid understanding of
async/await
,
Task-based programming
, and concurrency patterns.
Familiarity with
Git
and modern version control practices.
Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
Preferred Qualifications
Bachelor's degree in Computer Science, Engineering, or related field.
5+ years of experience
in back-end development and API design.
Deep understanding of
big data principles
(distributed computing, data partitioning, CAP theorem).
Experience building
ETL/ELT pipelines
for large-scale data ingestion and transformation.
Exposure to
Kubernetes
and container orchestration.
Familiarity with
Python or Scala
for data engineering tasks.
Experience with
data visualization tools
(e.g., Power BI).
Working knowledge of
Agile methodologies
(Scrum, Kanban).
What We Offer
A great team and culture
– check out our colleague video for a glimpse into life here.
An exciting career
as part of a world-leading software company providing solutions for architecture, engineering, and construction – watch our short documentary to learn how we started.
An attractive salary and benefits package
designed to reward your expertise.
A commitment to inclusion, belonging, and well-being
through global initiatives and resource groups.
A mission-driven company
dedicated to advancing the world's infrastructure for a better quality of life, where your contributions help build a more sustainable, connected, and resilient world.
Explore our latest user success stories to see 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 **** 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.
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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