Develop and maintain scalable data pipelines, storage solutions, and architectures to support our carbon accounting and decarbonization objectives
Design and implement complex data models for analytics use cases
Build efficient data transformations and continuously improve performance to balance execution time and environmental impact
Design and implement AI-driven features to enhance customer data exploration, anomaly detection, and intelligent insights
Take ownership of projects with a hands-on mentality, including technical reviews, documentation, and mentoring
Requirements
Strong Python skills and a track record of writing clean, simple, and well-tested code
Experience deploying AWS services with IaC (Terraform), including Lambda, S3, IAM, ECS, DynamoDB, and RDS
Strong knowledge of database optimization techniques (e.g. partitions, indexing, and query performance tuning)
Experience with at least one cloud data warehouse (e.g. Redshift, Snowflake, BigQuery, Databricks)
Experience with BI solutions (ideally Metabase) and orchestration tools (AWS Step Functions)
Experience building, maintaining, and documenting APIs (FastAPI, Flask, etc.)
Experience with modern AI technologies such as LLMs, embeddings, and vector databases
Experience working effectively in collaborative environments
Proactivity, flexibility, and responsiveness are characteristics we value very much
Benefits
Participation in our PPR program and share in the company’s long term growth and success
Discounts and benefits are available through the Plan A Corporate Benefits Platform and FutureBens, an online portfolio offering a variety of sustainability brands
Flexibility to work remotely, in-office, or a bit of both
28 vacation days per year, 30 days working-from-anywhere, 1 volunteering day per year, plus annual educational leave
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