CGG is a pioneering Technology Company providing world class fully integrated Geoscience services within the global Energy sector. Created in 1931, our history tells the story of a profession conducted with passion and of an adventure stretching across five continents. We employ in excess of 4,600 people worldwide, who bring a unique blend of talent and energy through working together to deliver unrivalled innovative solutions to our customers.

Through our cutting-edge Technology in Geoscience, we have achieved outstanding leadership with a strong focus on innovation and a commitment to delivering the best sustainable solutions to our clients' energy challenges. Based on the foundations of mathematics and applied physics, we bring our clients a unique range of technologies, manufactured equipment and services, designed to generate stunning 3D images of the Earth’s subsurface structures.

WHY WORK AT CGG?

• Highly intelligent and motivated coworkers who are industry leaders in seismic imaging.
• Energetic and challenging-yet-fun work environment, full of imaging problems to be solved and technologies to be developed.
• Excellent training and mentorship programs.
• We take care of our biggest asset – our people!

We’re looking for an enthusiastic team player to join the Digitalization Group, working on a microservices architecture.  Collaborate between business stakeholders, developers and users globally and fostering communication.  You will be a key figure in developing the data engineering capability; ingesting, transforming, storing and modelling data. Work on building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. A self-starter and team player who can work under high levels of pressure to challenging deadlines. You will communicate with a diverse group of stakeholders globally.

Key Responsibilities

• Translate business requirements into functional and technical data designs, develop data and analytical solutions in collaboration with stakeholders.

• Setup ETL process for data from multiple sources using python/logstash. Create solutions that solve business challenges and meet user needs using Kibana/Grafana/React/Python/SQL
• Identify and recommend opportunities for process improvement and liaise with business and technical teams to implement these changes.
• Automate repetitive tasks, developing innovative solutions for the team and wider business.
• Lead projects focused on driving incremental value with business teams, partnering with the business effectively to understand areas for optimization and growth opportunities.
• Maintain and evolve monitoring and alerting capabilities - includes infrastructure performance as well as key business metrics.
• Identify and recommend opportunities for process improvement and liaise with technical teams to implement these changes.
• Engage with stake holders to understand and document business requirements
• Communication with stakeholders of all levels including the ability to advise, train and support clients where necessary.

Skills & Experience

• At least 5 years commercial experience in working as a Data Engineer or similar role with Full Stack abilities.

• Experience of ELK stack/React/Python/SQL coding.

• Designing and building visualizations.

• Deep understanding of Business Analysis, Data modelling and Data Infrastructure and ETL Design.

• Experience in working as part of Agile and multi-disciplinary teams.

• Strong problem solving, analytical and logical skills.

• good experience working with Python (and there packages), to perform Data cleaning, Data quality assessment, Data analysis, Data visualization.

• Good understanding of Kafka, Docker, Kubernetes, Microservices.

• The ability to articulate ideas and proposed to stakeholders across the business, both technical and non-technical audiences.

• Create documentation for technical and non-technical users.

• Willingness to learn new skills and have a Can-do, Will-do attitude.

• Experience with fast prototyping.
• Set KPIs and metrics to evaluate analytics solution given a particular use case.

All your information will be kept confidential according to EEO guidelines.