Data Engineer

Data Engineer Overview

Kpler is looking for a data engineer to join its engineering organization and contribute to a product focused on the European power market. The role sits within the Commodities engineering area and is part of a team that works on large-scale datasets, data normalization and distribution, and proprietary products such as real-time availability calculations and market forecasts across short, medium, and long-term horizons.

The company describes itself as helping clients make sense of complex markets by turning global trade information into practical insight for the commodities, energy, and maritime sectors. Founded in 2014, it has grown into a global organization with more than 850 people from 69 countries, all working to convert complex data into useful intelligence for customers.

What you will do

• Improve the existing pipelines that collect data from external providers.
• Help broaden the product’s coverage into additional markets and geographic regions.
• Contribute to product development by adding new features and enhancing the overall offering.
• Design and improve monitoring, alerting, and dashboarding solutions so the team can better observe system behavior and data flow.
• Support the efficiency and responsiveness of the API that delivers data to end users.
• Work closely with data scientists and market specialists who bring deep expertise in the domain.
• Help the team create growth plans that are ambitious while still being sustainable over time.

What the company is looking for

• A bachelor’s or master’s degree in computer science, computer engineering, or an equivalent background.
• Roughly 3 to 5 years of experience as a software engineer with a strong emphasis on data-related work.
• Strong Python skills; experience with FastAPI is a plus.
• Experience using PostgreSQL or a similar data storage technology.
• Ability to build and consume REST APIs.
• Comfort working with Git, code review processes, and Agile ways of working.
• Knowledge of performance tuning and caching approaches.
• Good communication skills and the ability to collaborate asynchronously with colleagues in other countries.
• Curiosity and enthusiasm for learning the business domain.
• Strong written and spoken English.

Nice-to-have experience

• Experience with AWS or another cloud provider, including Terraform.
• Experience with container technologies such as Docker and orchestration platforms such as Kubernetes.
• Familiarity with hexagonal architecture and medallion architecture.
• Experience using observability tools such as Datadog, Grafana, or similar platforms.

Working style and culture

This is a full-time hybrid role. Kpler emphasizes a collaborative, international environment where people are encouraged to build together, act decisively, and support one another with a friendly and accessible approach. The company also highlights its commitment to fair hiring, inclusion, and diversity, and encourages candidates to apply even if they do not meet every single requirement.

The organization states that it welcomes people from different backgrounds, experiences, abilities, and perspectives, and that it is an equal opportunity employer. Applicants are also asked to confirm that they have read and accepted the Staff Privacy Notice when applying.

How to apply

Use the application link provided on the job page to submit your application for the Data Engineer role. The page includes an “apply for this job” option and notes that applying confirms acceptance of the Staff Privacy Notice.

Degree Requirement: Not Specified

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