Data Engineer Jobs

Revalue Nature:Revalue Nature's mission is to make ecosystems function, at scale. We do this by developing the highest integrity nature-based projects globally, with our team of carbon experts, advanced climate tech and data intelligence platform.

We are building on strong foundations to deliver at scale and with the highest integrity:

• We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space.
• We offer unrivalled opportunities for our talent. We want this to be a place which allows you to do the best work of your life, while also focusing on balance outside of work.
• Our team has exceptional track-record of designing and delivering the world's highest impact carbon projects.

What are we looking for?

We are not just another company in this space, we want to be the leaders, and we are rapidly scaling up our team to achieve it. We are looking for the most mission-driven, talented people to grow and scale our impact. If you have a ‘bias towards action’ and you are driven by our same values and mission, we want to know you.

Delivering natural solutions at scale requires diverse thinkers truly committed to revaluing nature through transparent, equitable partnerships and systems change. We seek a truly diverse range of applicants from around the world by career stage, background, and approach.

The ideal candidate will have expertise indata management, database architectures and workflow management platforms. As aData Engineer, you will play a crucial role in designing and implementing data pipeline architecture, automating data extraction and transformation processes, and ensuring efficient data delivery. Your expertise in cloud storage, workflow management platforms, and coding practices will contribute to the success of our data-driven initiatives.

This position will be remote and requires excellent communication skills, technical knowledge, and a passion for the environment.

What are the main responsibilities of the role?

• Develop and optimize algorithms for data retrieval, summarization, and analysis to meet performance requirements.
• Design and implement data storing architecture to support optimal data delivery.
• Provide training and support to other team members on data management best practices and stay up to date with industry trends and emerging technologies in data engineering to continuously improve our data infrastructure and processes.
• Design and implement automatic data extraction and transformation from various public data portals.
• Design and implement fast and efficient algorithms on data retrieval and summarization.
• Create and maintain data pipeline architecture to support efficient data processing and analysis.
• Participate in project planning, execution, and reporting, including the preparation of technical reports, and presentations.
• Design and implement queuing systems based on available resources to manage and prioritize tasks effectively.
• Collaborate with data scientists, analysts, engineers, and other stakeholders to understand data needs and provide appropriate solutions.
• Ensure the scalability, reliability, and security of data infrastructure and processes.
• Monitor and troubleshoot data pipeline issues and implement necessary optimizations and enhancements.
• Develop and maintain documentation of code, methods, and results for transparency and reproducibility.

What do we expect from you?

Requirements:

• Knowledge of containerization technologies like Docker or Kubernetes.
• Familiarity with Agile development methodologies and working in an Agile environment.
• Ability to write clean, easily maintained, and efficient code.
• Knowledge of writing unit tests is a plus.
• Proficiency in utilizing Git for version control and collaborative development.
• Experience on utilizing queue managers such as Apache Kafka or RabbitMQ is a plus.
• Experience on building cron pipelines or using workflow management platforms such as Apache Airflow.
• Strong knowledge of Cloud Storage systems such as Amazon S3 or Google Cloud Storage.
• Experience on spatial data transformation is a plus.

Nice to have:

• Understanding of data visualization tools and techniques for effective data presentation.
• Experience working with multi-temporal remote sensing data.
• Experience in working with large datasets and distributed computing.
• Familiarity with land cover change challenges and environmental issues.
• Knowledge of GIS software such as ArcGIS, QGIS, or Google Earth Engine.
• Familiarity with machine learning concepts and algorithms.
• Familiarity with remote sensing data products and archives.

What do we offer?

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

If you are passionate about working with data, enjoy solving complex problems, and have the required skills and experience, we would love to hear from you. Join our team and contribute to building robust data solutions that drive our organization's success.

Note: This job description is intended to convey essential responsibilities and requirements and is not an exhaustive list of tasks. Other duties may be assigned as deemed necessary by the company.

Starting date: ASAP

Location: Indonesia - Remote

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 authorized to work in their country of residence. Revalue is unable to sponsor or take over sponsorship of an employment visa at this time.

GET IN TOUCH

To apply, please submit your resume, cover letter, and any relevant portfolio or projects showcasing your data engineering skills.

Contact: [email protected]