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.