Data Engineer (Geospatial Team)

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

• Python
• SQL
• pandas
• NumPy

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