Transforming global food systems is key to tackling the climate crisis and protecting people and planet. That is why at OpenSC, we work in key commodities with large companies to VERIFY low-carbon and sustainable food production at source. Co-founded by WWF (World Wide Fund for Nature) and BCG Digital Ventures, OpenSC is a social impact venture headquartered in Sydney. Our platform uses data collected directly from our customer’s supply chains and continuously analyses it to VERIFY claims such as: - Ensuring truly deforestation-free palm oil: We verify that palm oil fruit actually come from legal and deforestation-free plantations - Confirming the right payments to coffee farmers: We verify fair payment to every farmer - the key to ensuring a living income and reducing land-use-change pressure - Only fishing where it is sustainable to do so: We verify that no fishing happens in marine reserves and our technology can continuously monitor where fishing happens With VERIFY as our core, TRACE (tracing products throughout supply chains) and SHARE (sharing powerful information B2B and B2C) complete the ecosystem.

Job description

Why us?

Transforming global food systems is key to tackling the climate crisis and protecting people and the planet. We believe a new and different type of transparency is needed to drive that change.

That is why we built OpenSC - co-founded by WWF and The Boston Consulting Group

Our platform uses data directly from the source of our customerâs supply chains and analyses it to create direct actionable insights about sustainable & ethical production.

Automated - Continuous - Granular - Immutable

This new type of transparency enables our customers to know, influence, and prove the sustainability of their supply chains.

Your mission

Further design and build OpenSCâs data platform across all data domains: collection, storage, transformation and analyses
Develop high-quality data pipelines that transform structured, semi-structured, and unstructured data from various sources into a standardized data model
Expand OpenSCâs data model to accommodate a growing number of use cases
Assume responsibility for the business interpretation of data and actively contribute to data science and analytics projects
Adhere to software engineering best practices regarding version control, testing, code reviews, deployment etc.Â
Provide support and guidance on data security and cloud infrastructure topics, ensuring a secure and efficient handling of data
Communicate effectively with technical and non-technical stakeholders
Contribute elevating the team through knowledge sharing on data engineering best practices

Your profile

4+ years of relevant industry experience building production-level data products
Proven solid foundation of core data concepts (e.g. integration, modeling, security, lineage, governance etc.)
Excellent Python skills and advanced competencies with main data ecosystem libraries
Advanced knowledge of SQL and relational databases (e.g. PostgreSQL, dbt)
Knowledge of Cypher and graph databases (e.g. Neo4j, Kuzu, etc.)
Experience with data pipeline orchestration tools (e.g. Dagster, Airflow, etc.)
Experience working with cloud infrastructure and services (ideally on AWS)
Experience working with different data modeling patterns and ability to abstract complex real-life information into a standardized data model description
Demonstrated familiarity with Version control (Git), Containerization (Docker, Kubernetes), CI/CD (e.g. CircleCi, Github Actions), IaC (Terraform)

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