Data Engineer

At Subsea7, we take pride in being recognised globally as a leader across the Energy Industry. For 5 decades our people have delivered over 1000 projects in all water depths across our energy hubs and we continue to do so, adapting and evolving in an ever-changing world. We are committed to creating a diverse workforce and we look to offer excellent career opportunities as well as providing wide range benefits.

Our success and sustainability are only made possible by continuing to develop our assets and technology through innovation and collaboration, and importantly through the development and diversity of our people who every day ‘Make Incredible things Happen’ at Subsea7.

Subsea7 is investing in the continued development of our Common Data Environment (CDE), a cloud based data platform designed to provide a trusted source of business information drawn from multiple business applications. We are looking for an experienced Data Engineer to help us with taking the next step in extending our data platform’s capabilities.

The primary responsibilities will be the creation of data pipelines within the CDE including; data provisioning, modelling, performance tuning, and optimization. The role will support both IT developers and business end-users by ensuring key company datasets are available, accurate and accessible. This will involve engaging with business and system owners of key company data applications to define, agree and implement processes for data management, access control and security.

What you will do:

• Maintain and contribute to the continuous development of our data platform
• Build and maintain data pipelines from internal databases and SaaS application
• Create and maintain architecture and systems documentation
• Collaborate with other functions to ensure data needs are addressed
• Collaborate with other IT teams to deliver solutions
• Provide technical support and monitoring within our data platform
• Provide technical expertise, guidance and best practice

What you will need:

To be successful in this role you will have:

• Proven proficiency with a modern programming language: Python, Java, JavaScript, Scala, etc
• Proven proficiency with using SQL to analyse and query structured data stores
• Experience in designing, developing and deploying data pipelines
• Experience with modern public cloud data offerings
• Experience with version control toolkits
• Experience in performing RCA of production incidents and debugging code defects
• Strong interpersonal skills

It would be advantageous if you have any of the following:

• Experience with Big Data toolkits and NoSQL technologies
• Experience with modern Business Intelligence toolkits
• Experience with designing and documenting data models
• Experience with optimization of data processing workloads
• Experience with message queuing and stream processing
• Knowledge of Modern Data Warehouse/Lakehouse architectural principles
• Knowledge of DevOps workflows and principles
• Knowledge of Machine Learning/MLOps workflows and principles

To succeed in this role, you should know how to analysis a data requirement, examine the data structure of the source datastore and implement the extraction pipelines and storage required for the extracted dataset. The ideal candidate will have proven experience in data analysis, extraction, processing and management as well as excellent analytical and problem-solving abilities.

Subsea7 are committed to creating a diverse workforce and we look to offer excellent career opportunities as you develop your skills and aspirations.

Along with a wide range of benefits and a flexible working environment, employees can further enhance their work-life balance through our Remote Working Policy.