Senior Backend Engineer

Job summary

At Kpl***, 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.

Qualifications

• Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
• into robust technical solutions.
• Continuously improve existing systems as data volume, complexity, and product expectations grow.
• 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.
• Kpl*** 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
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Responsibilities

• You will join a data-intensive product team responsible for building and operating core data pipelines and backend systems that model and deliver insights on global refinery operations and economics.
• You will help shape how data is engineered, validated, and delivered across the Refineries product.
• Role Description - What you will work on
• Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products.
• Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources.
• Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring.
• Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts.
• Build and maintain backend components and APIs used to serve data to downstream systems and applications.
• Partner closely with data scientists, product managers, and other engineers to translate domain

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