At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying integral trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. Kpler are looking for a Data Engineer to sit within our Natural Gas business unit and contribute to the build of our new US Gas product, which will complement our existing European Gas product. The product is currently under development and the scope of the role will include data engineering to scale the data sources used for the product, supporting the development of tailored analytics and be instrumental in merging the data across both products. Your mission is to: 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
Ensure high quality performance of 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
You could be a match if you are or have: Circa 3-5 years' of experience as a data focused Software Engineer
Significant experience working with Python (Fast API is a plus)
Experience 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
Desirable:
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 No SQL database

📌 Data engineer (Toluca de Lerdo)
🏢 Kpler
📍 Toluca de Lerdo