Key Responsibilities
Develop, codify, structure, expand and maintain the data scrapers in place
Enrich the product and participate in the development of new features
Build and improve monitoring and alerting tools and dashboards
Ensuring good performance on our API to distribute the data to end users
Discuss the roadmap in collaboration with the product team. Help the team build ambitious yet sustainable plans
Experience & Background
Circa 3-5 years' of experience as a data focused Software Engineer
Significant experience working with Python (FastAPI is a plus)
Have worked with with Postgresql or similar data stores,
Proficiency in building and consuming RESTful APIs
Comfortable working with Git, code reviews, and Agile methodologies
Experience with time-series, events data, normalization, database design
Strong command of written and spoken English
Understanding of performance optimization and caching strategies
Have experience with AWS (or another cloud provider), using Terraform
Experience with orchestration tool Airflow on a production environment
Experience with containerization (Docker) and orchestration (Kubernetes)
Knowledge on hexagonal architecture and medallion architecture
Used monitoring solutions (Datadog, Grafana, etc...)
Experience with NoSQL database
Experience or knowledge of sqlmesh or dbt
Japanese speaker
Essential:
Desirable:
Skills & Competencies
You are proficient in Python
You have already worked on improving performances of API and requests
Great communication, ability to work asynchronously with team members in other countries
Curious to learn about the domain
Technical / Functional Skills:
Behavioural Competencies:
Qualifications
Skills Required
- 3-5 years of experience as a data focused Software Engineer
- Experience working with Python (FastAPI is a plus)
- Experience with PostgreSQL or similar data stores
- Proficiency in building and consuming RESTful APIs
- Familiarity with Git and Agile methodologies
- Experience with time-series and event data, and database design
- Strong command of written and spoken English
- Understanding of performance optimization and caching strategies
- Experience with AWS or similar cloud provider using Terraform
- Experience with Airflow in a production environment
- Experience with Docker and Kubernetes for containerization
- Knowledge of hexagonal and medallion architecture
- Experience with monitoring solutions (Datadog, Grafana)
- Experience with NoSQL databases
- Knowledge of sqlmesh or dbt
- Japanese speaker
What We Do
Kpler is the leading data & analytics firm providing real-time transparency in commodity markets. Relying on a methodology that combines artificial and human intelligence, the Kpler platform provides real-time data and analytics (global flows, storage, freight) on more than 40 commodities including crude oil, refined products, LNG, LPG, and dry bulk.



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