AI Summary

Data Engineer responsible for scaling data scrapers, enriching analytics, building monitoring and dashboards, and ensuring API performance for Kpler's US Gas product within the Natural Gas unit.

About this role

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global 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 (FastAPI 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 NoSQL database

Skills

AgileAirflowAWSCaching StrategiesDatabase DesignDataDogData PipelinesData ScrapersDockerETL/ELTFastAPIGitGrafanaHexagonal ArchitectureKubernetesMedallion ArchitectureMonitoring And AlertingNoSQLPerformance OptimizationPostgreSQLPythonRESTful APIsScaling Data SourcesTerraformTime-series Databases

Data Engineer

About this role

Your mission is to:

You could be a match if you are or have:

Skills

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