Software Developer & Database Architect
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Key skills for this role
About the Role
Euro Group Engineering Consultancy seeks a Software Developer & Database Architect to design, develop, and maintain scalable data management platforms for an environmental monitoring program.
Key Skills for This Role
Responsibilities
- Design and implement robust database architectures (relational and spatial) and data models
- Develop backend services, APIs and ETL pipelines for ingesting, validating and transforming data
- Build interactive dashboards and visualization components for data exploration and reporting
- Optimize application and database performance, ensure scalability and high availability
- Implement data security, access control, backup and recovery procedures
- Apply software engineering best practices: version control, automated testing, CI/CD and documentation
- Collaborate with GIS specialists, data engineers, statisticians and field teams
- Prepare technical specifications, system architecture diagrams and deployment plans
- Provide troubleshooting, maintenance and support for production systems
- Support knowledge transfer and provide training documentation for client staff
Requirements
- Bachelor's degree in Computer Science, Information Technology, Software Engineering or related field
- 3 5 years of professional experience in software development and database architecture
- Proven experience building data platforms, ETL processes, APIs and dashboards
- Strong understanding of database design, data modeling and data warehousing principles
- Programming in Python and/or JavaScript
- Experience with SQL (PostgreSQL/PostGIS preferred) and NoSQL (e.g., MongoDB)
- Experience with data visualization tools or libraries (e.g., Tableau, Power BI, D3, Plotly)
- Familiarity with Docker, CI/CD, cloud services (AWS/Azure/GCP)
- Familiarity with spatial data and geodatabases is an advantage
Full Job Posting
Position Summary
- Design, develop and maintain scalable data management platforms, dashboards and backend systems to support a county wide environmental monitoring program.
- The role combines software development, database architecture and systems integration to process, store and visualize multi source environmental data reliably and securely.
Key Responsibilities
- Design and implement robust database architectures (relational and spatial) and data models to support environmental monitoring datasets.
- Develop backend services, APIs and ETL pipelines for ingesting, validating and transforming data from multiple sources.
- Build interactive dashboards and visualization components for data exploration, reporting and decision support.
- Optimize application and database performance, ensure scalability and high availability.
- Implement data security, access control, backup and recovery procedures; ensure compliance with data confidentiality requirements.
- Apply software engineering best practices: version control, automated testing, CI/CD and documentation.
- Collaborate with GIS specialists, data engineers, statisticians and field teams to translate requirements into technical solutions.
- Prepare technical specifications, system architecture diagrams and deployment plans.
- Provide troubleshooting, maintenance and support for production systems; monitor system health and respond to incidents.
- Support knowledge transfer and provide training documentation for client staff.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering or a related field.
- Strong understanding of database design, data modeling and data warehousing principles.
- Familiarity with spatial data and geodatabases is an advantage.
Experience
- 3 5 years of professional experience in software development and database architecture.
- Proven experience building data platforms, ETL processes, APIs and dashboards for medium to large datasets.
- Experience integrating diverse data sources and optimizing database performance.
Technical Skills
- Programming: Python and/or JavaScript; experience with backend frameworks (e.g., Flask, Django, Node.js).
- Databases: SQL (PostgreSQL/PostGIS preferred), NoSQL (e.g., MongoDB) and knowledge of schema design and indexing.
- Data processing: ETL tools, data pipelines, and familiarity with workflow orchestration (e.g., Airflow) beneficial.
- Data visualization: experience with BI tools or libraries (e.g., Tableau, Power BI, D3, Plotly).
- APIs and integration: RESTful API development and experience with JSON, GeoJSON.
- DevOps/Deployment: familiarity with Docker, CI/CD, cloud services (AWS/Azure/GCP) and monitoring tools.
- Testing, version control (Git) and automated build/test practices.
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