Principal Data Engineer

at  BP

JOB DESCRIPTION:

We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat and mobility to millions of people, every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the world’s ambition of a low carbon future. Join us and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner, and to help the world get to net zero.
Critical to achieving bp’s digital ambitions is the delivery of our high value data and analytics initiatives, and the enablement of the technologies and platforms that will support those objectives. We are developing deep data capability to transform the access, supply, control and quality to our vast and ever-growing reserves of data.
We are looking for an outstanding Principal Data Engineer who will drive the development of our data modelling and data contextualisation capabilities. These use cases would drive significant operational efficiency, safety and environmental aims that are key to the transformation of bp.

SKILLS:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms, Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving

Working alongside a number of other key Technology digital subject areas, combine your deep knowledge of both industrial technology and process alongside the latest data management and engineering techniques and technology to drive the delivery of the core data & analytics, modelling and contextualisation capabilities across a range of use cases.
Lead the end-to-end scope of data modelling (including graph techniques) and contextualisation across D&A with a constant focus on automation and aim to develop a strategy with Product & Architecture that could expand the capabilities into other bp business areas as applicable
Apply your technical and commercial insight to create a cost effective, reliable, reusable cloud native modelling platform that supplies relevant data to a range of capabilities
Provide leading insight of industry and technology trends and practices to shape bp’s data agenda and platform to create a culture of excellence.
Create positive engagement and governance framework and drive an inclusive work environment with teams and partners including product owners, product managers and portfolio managers.
Effectively work with cross-disciplinary collaborators and partners across multiple business entities to understand use cases, data requirements and value cases.
Provide support to the squads providing technical guidance, managing dependencies and risks
Review and ensure use case, value case, and ensure acceptance criteria, definition of done and KPIs are clearly captured, tracked, and aligned with the digital and data strategy
Set and implement data standards, co-design data schemas, ensure quality at the source, and find opportunities to (semi-) automate manual data processes wherever possible.
Provide deep data domain knowledge and business context around Asset Management and other industrial data sources and data products.
Work with your relevant D&A partners to implement data strategy and to coordinate data remediation plans to ensure data sets and data products meet business requirements.
Create and articulate materials to communicate delivery plan, value delivered and cost
Present results to peers and senior management to influence decision making.
Actively sponsor and mentor emerging talent and promote a culture of continuous development.
What you’ll bring
Experience (typically 5+ years) leading, growing, and developing teams (preferably with data relevance)
Hands-on experience (typically 10+ years) in data engineering, data governance and process automation in complex, global environments
Strong business insight, deep domain knowledge and experience gained from an industrial energy infrastructure setting
Strong partner management, communication skills and an ability to lead organizations through influence
Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail
Applied knowledge of data management and governance across all data lifecycle stages essential
Deep understanding of data models, data standards and processes essential
Experience of delivery of data products within cloud platforms such as AWS and Azure
Continuous learning and improvement attitude
Foundational data transformation and manipulation skills
Experience with big data technologies and graph modelling (e.g. neo4j, Azure Digital Twin and other Azure data technologies, Hadoop, Hive, and Spark etc) is a plus
Coding capability, SQL and scripting in R or python is a plus