Transact Campus is transforming the student experience through credential-driven privileges and innovative payments.
Our enterprise-class cloud platform powers every aspect of campus life, delivering data-driven insights and frictionless experiences for students and institutions alike.
As part of our dedicated data engineering, reporting and analytics team, you will be immersed in a fast-paced, agile environment where we use both novel and established technologies in innovative ways.
We're looking for someone who is passionate about data engineering, thrives in collaborative environments, and is excited by the opportunity to work on cutting-edge data and analytics solutions.
We're a fun, hard-working, and solution-oriented team that values creativity, ownership, and continuous learning.
You will be working with people who care deeply about building high-quality software and solving meaningful problems.
Location: Limerick City, Ireland
– Hybrid working with at least 3 days a week on site, during probationary period, to ensure a solid level of support while onboarding.
Position Responsibilities
Work in a dedicated data reporting and analytics team building a world-class data platform to produce data-driven insights for Transact Campus and our clients
Analyze, interpret and orchestrate complex data across disparate sources comprising unstructured, semi-structured and structured datasets in streaming and batch modes
Design and develop real-time data pipelines using the latest Databricks and Delta Lake Azure cloud technologies
Collaborate with data consumers (reporting, analysis, or data science) to provide metrics that meet their needs
Contribute to standards for data producers streaming data into the Lakehouse
Test commercial software products using both manual and automated testing processes
Support the application lifecycle during QA, UAT, and post-release phases
Comply with and contribute to consistent development guidelines (coding, change control, build, versioning)
Participate in peer code reviews
Required Skills
Bachelor's degree in Computer Science, IT or related field OR equivalent related work experience – preferably with a focus on Data Analytics
5+ years of experience in software enterprise-level Data Engineering
Expertise in big data workloads
Experience with data lakes and scale-out processing
Relational database design and best practices
Hands-on experience designing and developing Spark data pipelines
Strong SQL and Python skills
Understanding of cloud-based big data workloads
Experience with ETL/ELT patterns, preferably using Databricks jobs
Excellent technical documentation skills
Experience with data lakes (HDFS, Azure Data Lake or AWS S3)
Experience with source code management systems such as Git/TFS/SVN
Experience working in Agile teams (Scrum, XP, Kanban)
Ability to present ideas and insights to business stakeholders
Fluency in written and spoken English
Preferred Skills
Good understanding of Azure Data Services (Azure Databricks, Azure Data Factory, Azure Data Lake Gen 2)
Experience with Databricks Delta Lake, Delta Sharing, and Delta Live Tables
Experience with Spark Structured Streaming
Experience with NoSQL databases
Experience with Infrastructure as Code technologies such as Terraform or ARM
Experience in Data Science and ML methodologies
Experience with Azure services for streaming data (EventHub, EventGrid)
Understanding of Data strategy including Data Governance and Data management
Why Join Us
Work with cutting-edge data technologies and platforms
Collaborative and supportive work environment
Ongoing professional development and training opportunities
Hybrid working model
Regular social, sporting, and community events
Benefits including; Private Health Insurance, Dental Insurance, Matched Pension Contribution, 25 Days Annual Leave
This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required.
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.
Transact Campus Inc. is an equal employment opportunity employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, protected military/veteran status, or any other protected factor.