Organisational context
and job purpose

INEOS is a global manufacturer of petrochemicals, speciality chemicals and oil products. It comprises of 30 businesses, spanning across 168 sites and 26 countries throughout the world. Our key values include excellence in safety, health and environmental performance; Encouragement of innovation, entrepreneurship and reward for achievement; and empowering employees to create real value.

INEOS Energy is recently formed group of INEOS, combining the existing INEOS Oil and Gas businesses with the extensive development activities that the company has in developing low carbon technologies for the coming energy transition.

INEOS Energy holds a number of key interests in the North Sea. Key fields are Ormen Lange, Laggan-Tormore, Syd Arne, Siri, Breagh and Clipper South. At the heart of the INEOS approach is our commitment to the principles of responsible care. These are central to the INEOS way of working and are put into practice every day across our businesses.

The Production Data Engineer reports to the Head of Operations Support and responsible for maintaining INEOS Energy’s production database which collates data from across the business and makes it available and accessible to all departments. This role takes ownership of INEOS Energy’s production database and is responsible for maintaining and developing it.  As more data is added to the production database the role will expand to facilitate the use of machine learning tools to draw additional insights from the production database and databases held by other departments.

Responsibilities and Accountabilities

Key responsibilities:

• Maintain INEOS Energy’s production database (SQL database hosted on MS Azure)
• Maintain data feeds into the database (data is primarily imported using Python scrips from csv, xlsx, pdf, and emails)
• Deliver single source, reliable and auditable production data for the business

Additional responsibilities:

• Expand access and visibility of INEOS production data across the business (e.g., Develop KPI and MS Power BI dashboards)
• Identification and implementation of machine learning potential use cases
• Provide technical guidance and support to team members

Skills & Knowledge Required

Experience

• Undergraduate degree in maths, science or engineering discipline
• Previous experience managing databases
• Experience working in the oil and gas industry would be advantageous

Technical skills

• Experience using SQL skills for data extraction and analysis and ability to develop complex SQL queries
• Experience coding in Python, or another Object-Orientated Programming language
• Understanding of data governance best practice
• Exposure to Apache Airflow and Linux CLI would be advantageous
• Experience using MS Azure Platform MS Power BI and MS Power Apps would be advantageous
• Confident user of the MS Office suite

Behavioural skills

• Understand the importance of delivering reliable data from a single source
• Achieve high levels of accuracy with all work produced and be detail orientated
• Ability to problem solve and take on new challenges
• Have the ability to work independently
• Desire and ability to create and deliver change
• Ability to work in a fast paced and dynamic environment
• Strong communication skills (both verbal and written)
• Be willing to learn from and share knowledge with colleagues