Are you passionate about the energy trading industry and interested in a career in engineering?

Then join Energetech, a multinational trading company that reinvents the way energy flows through global markets and unleash your potential.

We are looking for talented individuals like you eager to create a positive impact in tech trading who value collaboration and innovation in a fast-paced environment. Who you are: 

About the role

As a Data Engineer, you will help us drive technical excellence and innovation. In this role, you will play a crucial role in developing and maintaining the infrastructure that powers our real-time trading systems. With a focus on strategic value, you will be responsible for managing multiple projects while supporting the implementation of new business and technology changes.

Your responsibilities

• Design, build, and maintain robust data pipelines for real-time trading applications.
• Manage and optimise Data Lakes and data warehousing solutions.
• Support development and deployment of ML/AI Model, using MLOps best practices
• Oversee data collection processes and ensure high standards of data integrity.
• Employ automation to enhance data processes and system efficiency.
• Develop and maintain scalable data pipelines to support real-time decision-making.
• Manage the storage and accessibility of data in Data Lakes and warehousing systems.
• Implement automation strategies to improve data integrity and processing.
• Collaborate with Software Engineers and other Data Engineers on diverse projects to enhance trading systems.

Qualifications

• Deep knowledge of programming languages such as Java, C# and/or C++ and developing application in Python
• Significant experience working with modern data technologies, like Postgres, Timescale dB, Quest dB, MongoDB, Kafka/Event Hub
• Acquaintance in deploying and managing microservices with docker, Kubernetes and bash scripting
• Expert knowledge of Azure, AWS or GCP and management of large-scale data pipeline system
• Desired capabilities with MLOps Frameworks like Kubeflow, MLFlow, Databrick ML tools, etc
• Experience with Databricks, Data Lakes, and workflow orchestration tools like Dagster or Airflow.
• Problem solver oriented with a keen interest in environmental sustainability and technological innovation.
• Familiarity with automated trading systems and real-time data streaming for high-frequency trading, is beneficial but not mandatory.

Our offer

• The unique opportunity to gaining experience in the latest and greatest technologies in Trade-Tech.
• Continuous opportunities for learning and enhancing your skills.
• Flexible projects that will push your limits and fuel your ambition.
• The opportunity to work with industry experts.

About Energetech

At Energetech, we are at the forefront of the energy sector, driving the transition towards sustainable energy usage through cutting-edge technology and commodities trading. We excel in leveraging market dislocations and inefficiencies, enhancing global energy distribution with our advanced digital infrastructure to promote transparency and efficiency. In this dynamic environment, our team is committed to innovation and sustainability, continually seeking to solve the complex challenges of today’s energy markets.