Geospatial Data Engineer Jobs

About

Revalue exists to deliver a fundamental step-change in integrity at scale. We are rethinking carbon projects from the ground up. We believe this fundamental step-change in the quality of carbon projects is required to build confidence in the market. 'Slightly better' is not good enough. Confidence is required for the carbon market to go from a pond to an ocean. An ocean of demand is required for impact at a planetary scale. Our world cannot afford anything less than impact on the planetary scale. This drives us every day.

What We Do

Revalue supercharges the world's leading nature-based developers. We enable them to go from the initial rapid assessment to first credit issuance, and beyond. All supported by our climate tech, which creates a step-change in accuracy, speed, automation, and level of insights during the project assessment and development process.

Our team

Our team has an exceptional track-record of designing and delivering high impact carbon projects. We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space.

We offer great opportunities for our talent and we want this to be a place that allows you to do the best work of your life, while also focusing on balance outside of work.

The Geospatial Data Engineer is responsible to our Chief Data Scientist. This role would be ideally based in Indonesia, but other locations can also be considered.

Tasks

What are the main responsibilities of the role?

The role will include but not be limited to:

• Spatial Modelling: Developing and implementing spatial models, workflows, and applications to simulate real-world scenarios and conduct statistical analysis, including data preparation (data cleaning, data transformation), descriptive analysis/exploratory data analysis, and modelling using machine-learning algorithms, linear models, regression models and alike.
• Spatial Data Quality Assurance: Ensuring the accuracy, consistency, and reliability of spatial data by performing quality checks, assessments, and validations. Proposing statistically viable and resource-efficient assessment methods at scale. ring.
• Collaboration: Collaborating with data scientists and GIS analysts, software engineers, project and portfolio teams and technical experts to understand requirements and develop appropriate solutions.
• Spatial Data Quality Assurance: Ensuring the accuracy, consistency, and reliability of spatial data by performing quality checks, assessments, and validations. Proposing statistically viable and resource efficient assessment methods at scale.
• Data Processing: developing and implementing algorithms and workflows to process and analyse geospatial data for visualization and mapping, potential project assessment, spatial analytics, monitoring, and project design.
• Performance Optimization: Identifying and implementing strategies to enhance the performance of spatial data processing, retrieval, and modelling.
• Data Integration: Integrating and consolidating geospatial data from various sources, including field observation and surveys, drone, airborne and/or satellite imagery (optical, Radar, Lidar), and various remote sensing outcomes/indexes, and other auxiliary data providers.
• Stay Updated: Keeping abreast of the latest advancements and trends in spatial data technologies and incorporating relevant innovations into projects.
• API Development and Database management: Creating and maintaining APIs for spatial data access and integration with other systems, ensuring robust data architecture and management.
• Database Design: Designing and optimizing spatial databases to store and manage geospatial data efficiently and securely.
• Documentation: Maintaining clear and detailed documentation of sources, scripts and processes, workflows, and data structures.

Requirements

What do we expect from you?

• Mission, values and impact driven
• A love of nature; a strong affinity with conservation and restoration of natural systems
• A proven ability to work effectively in diverse cultural settings
• Evidence that you can work in remote teams, are self-driven with willingness to take initiative and committed to continuous improvement and consistent high-performance within a complex and fast-growing sector
• Advanced programming skills, Python, R, Javascript, SQL
• Experience in remote sensing data analysis, particularly in land cover change detection and classification using radar, optical sensors , Lidar, and high-resolution imagery.
• Demonstrated results in effective delivery and day-to-day operational excellence
• Willingness to join an international, remote working team, travelling to various international settings as needed
• Strong understanding of statistical methods for spatial extrapolation, scenarios projections, modelling, and assessment.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or Keras is a plus.
• Outstanding problem-solving skills and detail orientation
• An understanding of the voluntary carbon market (REDD+, ARR, ART Trees etc) is desirable
• Familiarity with geospatial libraries and tools (e.g., GDAL, PostGIS, GoogleEarthEngine, QGIS, ArcGIS)
• Strong understanding of geospatial concepts, principles, and applications, such as spatial indexing, spatial data formats (vector and raster) and transformation, resampling and spatial statistics and spatial analysis techniques.
• Ability to conduct experiment/mini-research project autonomously: setting objectives, hypothesis, testing protocols, results and critical review.
• Experience interpreting qualitatively and statistically imagery, time series, complex spatial analysis, data modelling and landscape scenario analysis.
• An understanding of nature-based solutions is desirable but not a must
• Resilience, and the ability to make difficult things happen
• Knowledge of data management and cloud computing. familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based geospatial services (e.g., Amazon S3, Google BigQuery GIS)

Benefits

What do we offer?

• Unbeatable work flexibility and balance (global team, remote working)
• On-the-ground work in the most iconic nature landscapes of our planet
• Shared purpose, culture and values
• An agile team, with unrivalled experience and track-record
• A truly diverse team of colleagues, partners and clients

How To Apply

We are actively hiring and want to hear from you. Please apply by attaching your resume, your portfolio, and include the following questions in a cover letter:

• Current country/region of residence
• Languages and levels of proficiency
• Please describe your ideal role and career trajectory (2-3 sentences)
• Please indicate your area(s) of expertise
• Please describe your key motivations for working in this sector (2-3 sentences)

Revalue Nature Ltd is an equal opportunity employer that values diversity and encourages people of all ethnic & racial origins, gender identities, sexual orientations, religions & ideologies, socio-economic statuses, educational backgrounds, ages, and individuals of all abilities to apply.

Applicants must be legally authorised to work in their country of residence. Revalue is unable to sponsor or take over sponsorship of an employment visa at this time.