Data Engineer

Kpler · Hungary

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 850 experts from 69 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 Power team is responsible for a product covering the whole product related to the European power market. This includes large datasets to retrieve, normalize and distribute to our users, and also offer different proprietary datasets such as real time availability computation or market forecasts on different time horizons, from intraday to long term.

Your mission is to:

  • Enhance the different pipelines in place to retrieve data from external providers.
  • Participate in expanding the coverage of the data retrieved to new markets or geographies.
  • Enrich the product and participate in the development of new features.
  • Build and improve monitoring and alerting tools and dashboards.
  • Contributing towards good performance of our API which distributes the data to end users.
  • Work together with Data Scientists and market experts with strong experience in this domain.
  • Help the team build ambitious yet sustainable plans for growth and improvement.
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    This could be a match if you have/are:

  • BSc/MSc in computer science, computer engineering or equivalent.
  • Circa 3-5 years' of experience as a data focused Software Engineer.
  • Significant experience working with Python (FastAPI is a plus).
  • Working experience with Postgresql or similar data stores.
  • Proficiency in building and consuming RESTful APIs.
  • Comfortable working with Git, code reviews, and Agile methodologies.
  • Understanding of performance optimization and caching strategies.
  • Great communication, ability to work asynchronously with team members in other countries.
  • Curious to learn about the domain.
  • Strong command of written and spoken English.
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    Desirable experience
  • Have experience with AWS (or another cloud provider), using Terraform
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Knowledge on hexagonal architecture and medallion architecture
  • Used monitoring solutions (Datadog, Grafana, etc...)

    • Data & ML pay context

    Based on 1,390 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $127K and $209K (10th–90th percentile: $106K–$248K).

    See the full Data & ML salary breakdown →
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