Job Description
We are seeking an experienced Data Engineer to support the design, implementation, and ongoing management of a cloud-based data platform. This role will be responsible for building robust data pipelines, ensuring data quality and governance, and enabling scalable analytics and AI use cases across a mixed-use development. The ideal candidate combines strong technical expertise with practical experience in production environments and can work closely with cross-functional teams, vendors, and business stakeholders.
Job Summary
- Data Pipeline Development & Integration
- Design, build, and maintain scalable data pipelines (batch and streaming)
- Ingest data from multiple sources (IoT systems, enterprise systems, third-party APIs)
- Implement ETL/ELT processes using GCP-native tools such as Cloud Dataflow, BigQuery, and Cloud Pub/Sub.
- Data Platform Implementation
- Support the setup and enhancement of the overall data architecture on GCP
- Work with solution architects to define data models, storage, and processing layers
- Ensure platform scalability, performance, and cost efficiency
- Data Governance & Quality
- Implement data validation, monitoring, and quality controls
- Support data cataloging, lineage, and metadata management
- Ensure compliance with internal data governance and security policies
- Operations & Maintenance
- Monitor pipeline performance and troubleshoot issues
- Optimize jobs for reliability and cost
- Manage production deployments and version control
- Collaborate with DevOps for CI/CD pipelines
- Stakeholder & Vendor Coordination
- Work closely with internal teams (ICT, digital, operations)
- Coordinate with external vendors and system integrators
- Translate business requirements into technical data solutions
- Enable Analytics & AI Use Cases
- Prepare clean, structured datasets for dashboards and AI models
- Support integration with BI tools (e.g., Looker, Power BI)
- Enable data availability for predictive analytics and smart city use cases
Key Qualification
Education
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
Experience
- 5 - 10 years of experience in data engineering, data platforms, or related roles
- Proven experience building and maintaining production-grade data pipelines
- Hands-on experience with GCP is highly preferred
Technical Skills
- Strong proficiency in SQL and Python
- Experience with distributed data processing and streaming technologies (e.g., Apache Beam/Dataflow, Apache Spark, Apache Kafka or Cloud Pub/Sub)
- Familiarity with GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
- Understanding of data warehousing and data lake concepts
- Experience with API integration and real-time data streaming
Data & Architecture Knowledge
- Strong understanding of data modeling (star schema, normalization)
- Knowledge of ETL vs ELT approaches
- Understanding of data lifecycle management
- Exposure to data governance frameworks is a plus
Soft Skills
- Strong problem-solving and analytical thinking
- Ability to work independently and manage multiple priorities
- Good communication skills to engage both technical and non-technical stakeholders
Preferred Background
- Experience in smart buildings, real estate, or mixed-use developments
- Exposure to IoT data integration (e.g., BMS, Wi-Fi analytics, sensors)
- Experience working in multi-vendor environments (SIAM model)
Diversity brings us closer to the communities we serve
Guided by our Purpose, we are creating, inspiring, and nurturing an inclusive culture that unlocks the power of diverse teams to drive Frasers Property forward. Our values drive everything we do, which are core to creating safe places where everyone belongs, is mutually respected and feels empowered to be authentic at work. Working collaboratively makes us progressively stronger and better as an organization, which helps our people to thrive each day.
