Kpler

Staff Engineer (Market Data)

Remote Hybrid
Elasticsearch PostgreSQL API Machine Learning Python AWS Terraform Kubernetes Kafka Scala Spark GraphQL SQL
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 500 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.


The Market Data 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

  • Contribute to the roadmap in collaboration with Product Owners and Engineering Managers to upgrade our data pipelines to the next level of quality and reliability.
  • Design and implement the APls, pipelines, and read models to publish our datasets.
  • Maintain and optimise our datasets and their schemas.
  • Guarantee data integrity and availability to our consumers.
  • Provide state of the art environments and tools to support the development team.
  • Share your expertise with team members, bringing help and guidance when needed. Connect to other engineers and bring insights to help us re-architect existing systems for scale and extensibility.

It will be a match if you

  • Have at least 8 years of experience as a Software Engineer / Data Engineer, including significant hands-on experience with using Kafka and Scala in a production environment, especially with Cats or Spark.
  • Can design and implement RESTful APIs.
  • Have experience with DevOps and Infrastructure as Code practices, especially on AWS.
  • Have experience with Data Processing Orchestration (Airflow).
  • Are fluent in English and have experience working in an international environment.

It will be better if you have experience with

  • Functional Programming frameworks such as fs2…
  • Big Data Management : DeltaLake, Medallion, Lineage…
  • Terraform, gitops, Kubernetes…
  • Machine learning, OCR, NLP…
  • ElasticSearch, GraphQL…
  • Python
  • SQL schema and PostgreSQL optimisations
  • AWS WAF principles
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
Kpler
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