Senior Software Engineer

Founded in 2012, we are an independent research consultancy that has enjoyed phenomenal growth since our inception, and we have very ambitious plans to continue our upwards growth trajectory. We are passionately committed to providing indispensable and industry-leading short, medium and long-term analysis, and forecasts of the energy markets, that helps our clients trade, invest, finance and plan. We pride ourselves on the quality of our work and draw on a wide range of experience and expertise to derive our views. We are made up of expertise in upstream production, trading, quant analytics and econometric forecasting, to name a few. We haves always maintained a key focus on the geopolitics of the energy industry and the impacts they can have in shaping global markets. We have in recent years acquired several firms to enhance our position in energy market consultancy, including Medley Global Advisors (2020), OilX (2022), INAS (2023) and MMSA (2024) bringing additional expertise in macro trends, oil market data and paper positioning into the group. We are also growing our offering to clients focused on the energy transition, providing tradeable insights on long-term trends. We have also recently acquired Kayrros (2026) headquartered in Paris, France. Kayrros is a leading geospatial intelligence company that uses AI, satellite imaging, geolocation data and other sources of information to evaluate global energy systems, identify climate risks, and help global customers improve their operations. We are currently recruiting for our Paris office, a Senior Software Engineer The Team The Geospatial Engineering Team oversees developing Kayrros’ key software components for remote sensing data processing as well as elaborating and running the pipelines that power Kayrros products. The team has a specific focus on Earth observation data (optical, sar, lidar) and geolocation data. Key Responsibilities Develop data processing pipelines, from design to deployment and maintenance Ensure best practices regarding testing, version control, CI/CD, operations, observability, etc. Collaborate with remote sensing researchers, geospatial and machine learning engineers and product stakeholders. In particular: Design, implement and operate large-scale imagery and data pipeline on Kubernetes Develop internal shared libraries to ease the creation and maintenance of data pipelines, Evaluate architecture trade-off with respect to maintenance, cost, scalability and robustness. Fasten development cycles and professionalize development with modern tooling and AI. You will have a transverse role in the development of EA/Kayrros technologies, from domain specific algorithm design to production deployment and operations. You will work with the full range of data sources used at EA/Kayrros (optical, SAR, hyper-spectral). As an example, the Team has already developed pipelines regarding wildfire monitoring, shale gas wells, methane plume detection, and many others! Skills, Knowledge & Expertise This is an ideal opportunity if you are looking for a new challenge in a high impact position, ensuring the on-time, high-quality delivery of geospatial data to our customers. You will get the opportunity to work with diverse teams, from data scientists and engineers to product owners. Required qualifications: Master degree in Engineering, Computer Science or equivalent Significant experience in Software Engineering Experienced Python engineer. Knowledge of software architecture. Familiar with AI-driven development tools. Knowledge of Kubernetes and Docker and at least one public cloud provider (AWS, GCP, Azure) and its managed services (S3, SQS, Lambdas, etc.). Knowledge in RDBMS (PostgreSAL, MySQL, etc.) and schema design Knowledge of one popular workflow scheduler and/or orchestrator (Argo, Airflow, Keda, etc.). Leadership, rigor, autonomy and proactivity. Excellent project management and organizational skills. Speak and write fluent English to communicate with our international teams. Appreciated skills: Familiar with the geospatial open source ecosystem (GDAL, rasterio, proj, etc.). Familiar with new data formats (geoparquet, cloud optmized geotiff, etc.). Familiar with cloud architecture (resilience, error management, etc.). Please apply with CV written in English Job Benefits Welcome to our unique workplace where a passion for our industry-leading product sits at the heart of who we are. Life at EA is completely eclectic, fostered through the global nature of the business and a real appreciation of the many cultures of our diverse team. We unite as a single, cohesive team through an array of social clubs that cater to a spectrum of interests, from running and yoga to football and culinary adventures. These groups create a collegial and dynamic atmosphere that extends beyond work, promoting a healthy and balanced lifestyle for our team. Our strategically located offices are all set in prestigious buildings, offering you the convenience of nearby gyms, retail therapy, diverse dining options, and accessible public transport. I f you are passionate about data engineering and energy transition, but don't tick every box in the requirements list, we still encourage you to apply.