The Role
As a Data Engineer, you will enhance the US Gas product by building data scrapers, improving APIs, and collaborating on features with the product team.
Summary Generated by Built In
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
- 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
Desirable:
We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?
We make things happen
We act decisively and with purpose, going the extra mile.
We build
together
We foster relationships and develop creative solutions to address market challenges.
We are here to help
We are accessible and supportive to colleagues and clients with a friendly approach.
Our People Pledge
Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
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The Company
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.
