Job Overview
Location
United Kingdom
Job Type
Full-time
Category
Software Engineering
Date Posted
June 16, 2026
Full Job Description
đź“‹ Description
- • Design, build, and maintain scalable data pipelines to ingest, transform, and distribute large-scale datasets related to the European power market, including real-time and historical energy data.
- • Normalize and standardize heterogeneous data sources from diverse utilities, grid operators, and market participants to ensure consistency and accuracy across Kpler’s proprietary datasets.
- • Develop and optimize ETL processes that support real-time availability computations and market forecasts across multiple time horizons, from intraday to long-term projections.
- • Collaborate with data scientists and product teams to translate analytical requirements into robust data infrastructure solutions that power client-facing dashboards and insights.
- • Implement data quality monitoring systems to detect anomalies, gaps, or latency in incoming feeds and automate remediation workflows where possible.
- • Integrate with external APIs and data providers to expand coverage of the European power market, ensuring timely and reliable data ingestion.
- • Maintain and improve data storage architectures using cloud-based technologies to handle petabyte-scale datasets with high availability and low latency.
- • Document data schemas, pipeline dependencies, and operational procedures to ensure knowledge sharing and continuity across the Power team.
- • Participate in code reviews and architectural discussions to uphold engineering standards and promote best practices in data engineering.
- • Troubleshoot and resolve production issues related to data pipelines, ensuring minimal downtime and high data integrity for critical client deliverables.
- • Work closely with cross-functional teams to understand evolving business needs and adapt data infrastructure to support new product features and market expansions.
- • Contribute to the continuous improvement of data governance policies, metadata management, and lineage tracking for regulatory and operational transparency.
- • Stay current with emerging tools and technologies in the data engineering space to enhance pipeline efficiency, scalability, and maintainability.
- • Support the deployment of data services in production environments using CI/CD pipelines and infrastructure-as-code practices.
- • Ensure all data systems comply with internal security protocols and data handling policies for sensitive energy market information.
🎯 Requirements
- • Proven experience building and maintaining large-scale data pipelines for time-series or energy market data
- • Proficiency in Python and SQL for data transformation and automation
- • Experience with cloud data platforms (e.g., AWS, GCP, or Azure) and orchestration tools (e.g., Airflow, Dagster)
- • Strong understanding of data modeling, normalization, and schema design for complex datasets
- • Experience working with real-time or near-real-time data ingestion systems
- • Familiarity with data quality monitoring and observability tools
🏖️ Benefits
- • Competitive salary and performance-based bonuses
- • Comprehensive health and dental insurance
- • Flexible working hours and remote work options
- • Professional development allowance for courses and certifications
- • Annual team retreats and international collaboration opportunities
- • Access to cutting-edge tools and technologies for data engineering
Skills & Technologies
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About Kpler S.A.S.
Kpler S.A.S. provides real-time and historical data on commodity flows, tracking global shipments of crude oil, refined products, liquefied natural gas, metals, and agricultural goods. The company aggregates satellite, customs, and port data into a web-based analytics platform used by traders, producers, shippers, and financial institutions to monitor supply chains, assess inventories, and forecast market balances. Founded in 2014 and headquartered in Paris, Kpler employs proprietary algorithms and a global network of sources to deliver granular cargo-level information, enabling clients to make informed trading, logistics, and risk-management decisions across energy and bulk commodity markets.
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