Description
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 600 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 is seeking a talented and motivated, Junior Data engineer to join our Commodities Market Data team. The CMD team is responsible for the ingestion, filtering, enrichment, and distribution of externally sourced data. This data is coming from thousands of sources related to maritime trade, and is critical to the business processing entities in Kpler, so they can provide a live and accurate picture of the global trade to our customers.
Your mission
- Get up to speed with our domain, working independently on some tasks, with support on more complex projects.
- Working alongside other engineers, take responsibility for the development and implementation of our core data ingestion and distribution pipelines, and associated back-end systems based on project requirements and design specifications.
- Help to troubleshoot and optimise existing workflows to improve performance and efficiency. Ensure data integrity and accuracy across various pipelines.
- Demonstrate strong analytical and debugging skills with a proactive approach to learning.
You'll be a match if you
- Are proficient in Python, or other scripting languages, with experience in data manipulation and transformation (such as with Pandas).
- Are familiar with SQL, RDBMS or Big Data technologies.
- Have knowledge of data integration, ETL processes, and batch/streaming data processing.
- Are comfortable working with Git, code reviews, and Agile methodologies.
- Have an understanding of containerisation and orchestration tools (e.g., Docker, Kubernetes, Airflow).
- Are eager to learn new languages and technologies.
It will be even better if you
- Have experience with Scala.
- Are familiar with Machine Learning, especially with NLP.
- Have worked with Kafka or other message-broker technologies.
- Have exposure to Elasticsearch.
- Have worked with AWS (or another cloud provider), using Terraform.
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.
By applying, I confirm that I have read and accept the Staff Privacy Notice
Kpler
Analytics
Big Data
Finance
Image Recognition
Information Technology
Oil and Gas
Predictive Analytics
Software
1 applies
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