About the Role
Our Client is seeking a Data Engineer to join its Geospatial Team to design, develop, and maintain scalable data platforms that support spatial analytics and long-term infrastructure planning.
You will contribute to the development of the Client's Spatial Modelling Engine, which forecasts future education demand using data such as housing growth, demographics, migration patterns, land-use plans, and accessibility.
Key Responsibilities
Data Engineering & Solution Design
- Collaborate with business users and stakeholders to gather and analyse requirements.
- Translate business requirements into scalable technical solutions.
- Design data architecture aligned with data governance and enterprise standards.
Data Modelling
- Design and implement efficient data models and database structures.
- Optimise data models for performance, scalability, and maintainability.
- Work closely with stakeholders to support analytical and reporting requirements.
Data Pipeline Development
- Design, develop, test, and deploy end-to-end data pipelines.
- Build data ingestion, transformation, and validation processes.
- Develop batch and real-time data processing workflows.
- Implement monitoring, error handling, and data quality checks.
Data Platform Operations
- Monitor and maintain production data pipelines.
- Troubleshoot pipeline failures and data quality issues.
- Optimise system performance and improve platform reliability.
- Enhance existing data infrastructure through continuous improvement initiatives.
Requirements
Minimum Qualifications
- Bachelor's Degree in Computer Science, Data Engineering, Information Technology, or a related discipline.
- Minimum 3-5 years of experience in Data Engineering, Data Analytics, or a related field.
- Proven experience designing and implementing enterprise data pipelines.
Required Technical Skills
Programming
Data Engineering
- Data ingestion
- ETL/ELT development
- Data transformation
- Data quality management
- Pipeline orchestration
- Metadata management
- Data governance
- Data lineage
Data Architecture
- Data Lake
- Data Warehouse
- Data Lakehouse
- Data Mesh
Preferred Skills
- Databricks
- AWS Cloud Services
- Cloud data processing and storage solutions
- Infrastructure-as-Code (Terraform, CloudFormation, or equivalent)
- DevOps practices for data platforms
Advantageous Skills
Experience with one or more of the following:
- ArcGIS
- GIS platforms
- Geospatial APIs
- Routing engines
- 2D/3D mapping technologies
Soft Skills
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management skills
- Ability to work collaboratively with technical and business teams
- Ability to translate business requirements into technical solutions
- Strong troubleshooting and performance optimisation capabilities
What We're Looking For
The ideal candidate will have:
- 3-5 years of Data Engineering experience
- Strong Python and SQL skills
- Experience building scalable data pipelines
- Knowledge of modern data architectures
- Experience with cloud-based data platforms
- A passion for solving complex data and geospatial challenges
