Senior Data Engineer

🕒 January 22

🏢🏡 London – Hybrid

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Kpler

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

⚡ Energy

🚗 Transport

Energy • Transport • Data Services

Kpler is a leading provider of real-time data and intelligence in the maritime and energy sectors. The company offers products and services designed to help businesses make informed decisions in commodity trading, energy transition, and maritime logistics. With a robust platform that provides detailed insights into physical markets, power markets, and financial markets, Kpler enables traders, analysts, fleet managers, and logistics professionals to optimize their operations and strategies. The company's tools include ship tracking, cargo inventories, and power market analytics, serving over 10,000 organizations worldwide.

📋 Description

• 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 requirements into robust technical solutions. • Continuously improve existing systems as data volume, complexity, and product expectations grow.

🎯 Requirements

• Deliver high-quality, well-tested, and maintainable code, setting a strong example for engineering best practices. • Own significant parts of the data platform end-to-end, from ingestion to production delivery. • Make architectural contributions to data processing, storage, and delivery patterns. • Contribute to and improve CI/CD pipelines, automation, and operational tooling. • Instrument services and pipelines with metrics, logs, and alerts, and help define operational standards. • Play an active role in incident response, root-cause analysis, and long-term system improvements. • Review code, mentor other engineers, and help reinforce shared coding and architectural standards across the team. • Exposure to Kafka, Spark, or streaming architectures. • Experience with Kubernetes. • Familiarity with event-driven or microservices architectures. • Exposure to analytical datastores (e.g. Elasticsearch). • Full-stack awareness (e.g. ability to read, review, and provide feedback on frontend or API-layer pull requests, without being a primary frontend contributor). • Prior experience working on data products in energy, commodities, or industrial domains.