Data Engineer, Tree.ly
Marketplace for forest-based CO2 credits
Job no longer available
Marketplace for forest-based CO2 credits
1-20 employees
Job no longer available
1-20 employees
Company mission
To ensure forest conversation through state-of-the-art technology and regional collaboration.
Role
Who you are
- Experience: 3+ years in data engineering or a related role, with hands-on experience in geospatial and/or temporal data processing
- Programming: Proficiency in Python, SQL, and familiarity with languages like Java or Scala
- Geospatial Tools: Experience with geospatial libraries (e.g., GDAL, GeoPandas, QGIS) and databases (e.g., PostGIS)
- Data Technologies: Knowledge of big data frameworks (e.g., Apache Spark, Kafka) and time-series databases (e.g., InfluxDB, TimescaleDB)
- Cloud Expertise: Practical experience with cloud platforms (AWS or Azure) and their geospatial/temporal data services (e.g., BigQuery GIS, S3)
- Problem-Solving: Strong analytical skills to tackle complex data challenges
- Education: Bachelor’s degree in Computer Science, Engineering, GIS, or a related field (or equivalent experience)
Desirable
- Experience with environmental or sustainability-focused datasets
- Familiarity with real-time data streaming and processing
- Contributions to open-source geospatial or data engineering projects
What the job involves
- We’re looking for a skilled Data Engineer to design, build, and maintain robust data pipelines and infrastructure focused on geospatial and temporal datasets
- You’ll play a key role in processing complex environmental data, enabling real-time analytics, and supporting our mission to create a greener planet. If you’re passionate about data systems, geospatial technology, and sustainability, we’d love to hear from you!
- Data Pipeline Development: Design and implement scalable ETL/ELT pipelines to ingest, process, and transform geospatial and temporal data from diverse sources (e.g., satellite imagery, IoT sensors, historical records)
- Geospatial Data Management: Optimize storage and querying of geospatial datasets using tools like PostGIS, GeoPandas, or similar technologies
- Temporal Data Processing: Build systems to handle time-series data, ensuring efficient analysis of trends and patterns over time
- Infrastructure Optimization: Develop and maintain data architectures (e.g., data lakes, warehouses) on cloud platforms to support high-volume geospatial and temporal workloads
- Collaboration: Partner with data scientists and product teams to deliver clean, reliable datasets for visualization, machine learning, and decision-making
- Performance Tuning: Monitor and enhance the performance of data systems, ensuring low-latency access to geospatial and temporal insights
- Data Quality & Security: Implement processes to ensure data accuracy, consistency, and compliance with privacy standards
Our take
Tree.ly is a carbon offset startup specialising in forest-based climate protection projects across Europe. The company develops initiatives to mitigate climate change by leveraging local forests, collaborating with forest owners, municipalities and corporations to enhance the effectiveness of these projects.
The company employs advanced technologies, including geospatial engines, machine learning for stock measurement, species detection and stock change modelling. Over the past year, Tree.ly has secured contracts covering over 100,000 hectares across Europe, leading to the storage of over 2.8 millio tons of CO2.
Recent funding will accelerate Tree.ly's growth, strengthen its technological leadership and expand its European market presence. As the market for voluntary emission certificates is expected to grow significantly, Tree.ly's focus on high-quality, well-monitored local projects positions it well for future success in climate protection.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Jul 2024
$5.7m
SEED
Total funding: $5.7m
Company benefits
- Lots of responsibility and growth potential in your role and the opportunity to make a big difference in an innovative start-up
- Flexible working hours
- Opportunities for further training
- Attractive remuneration
Company HQ
Dornbirn, Vorarlberg
Leadership
Jodok Batlogg
(CEO)Board Member at Alphacruncher and SIlvaConsult. Previously founded Crate.io where they served as the CTO for over 7 years. Prior to that, they were the CEO at Lovely Systems and the CTO at sevenfold and VZnet.
Christian Lutz
(COO)Supervisory Board Member and Foundation/Trust Director at TGW Logistics Group. Previously founded Crate.io where they served as the CEO for 7 years. They also co-founded Impossible Camera and fatgoogoo.
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