Job Family Group:
Engineering Group

Job Description:



Role Synopsis

BPX Energy is seeking a highly motivated and skilled Senior Production Systems Engineer to join our team and help revolutionize our US onshore operations. In this role, you will be a key player in developing and deploying cutting-edge, data-driven solutions that optimize production, streamline workflows, and solve enterprise-level problems. You will collaborate closely with various stakeholders, including engineers, optimizers, and field operators, to understand their challenges and translate them into impactful software solutions and/or process improvements.

Key Accountabilities

• Partner with Operations, Optimization, Interventions, and other teams to identify opportunities for improvement and develop innovative solutions that leverage the power of data
• Design, develop, and deploy robust applications using Python, SQL, and Snowflake within the AWS cloud environment
• Champion the adoption of best practices for software development, including version control, code reviews, testing, and continuous integration/continuous deployment (CI/CD)
• Collaborate with Technology and Production as a product owner to ensure the successful implementation and ongoing support of in-house solutions
• Contribute to the development and maintenance of enterprise-level systems and standards that drive efficiency
• Build intuitive and insightful reporting tools and dashboards using Power BI, Streamlit, and/or other Python web frameworks to empower data-driven decision-making
• Leverage AI tools like Claude Code and create AI agents to facilitate analysis and outcomes

Essential Experience and Education

• Bachelor's degree in Engineering, Computer Science, or a related field
• 7+ years experience in the oil and gas industry, particularly related to Petroleum Engineering, preferred
• Strong programming skills in Python and SQL, especially for data-intensive applications
• Experience with cloud platforms like AWS and Azure
• Competency with containerization technologies such as Docker and Kubernetes
• Familiarity with workflow orchestration tools like Dagster+ preferred
• Experience developing in Palantir a plus
• Excellent communication and interpersonal skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences
• A passion for problem-solving and a strong analytical mindset

Desirable Criteria and Qualifications

• Effective Communicator: Able to present complex problems to a diverse audience, from field personnel to upper management, in a clear and concise manner. Can explain complex technical concepts and algorithms in a way that is easily understood by a broad audience.
• Growth Mindset: Demonstrated ability to quickly learn new concepts, processes, software, and engineering and mathematical ideas.
• Empathetic and Customer-Focused: A strong listener who develops solutions that directly address customer needs, generate business value, and improve user experience.
• Resilient: Able to tackle open-ended data-related problems and extract valuable insights from complex and potentially messy datasets. Possesses the determination to effectively clean and prepare data for analysis and predictive modeling.

Compensation & Benefits

How much do we pay (Base)?

$165,000-$194,000

Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.

We offer a reward and wellbeing package designed to support your life both inside and outside of work. Benefits may include:

• Medical, dental, and vision insurance
• Paid time off
• Discretionary annual bonus program
• Long-term incentive program
• 401(k) matching program

Legal authorization requirements:

Must be legally authorized to work full-time in the United States for any employer other than your current employer

Must not require sponsorship now or in the future for employment visa status (e.g., H-1B, TN, etc.)

Travel Requirement:
Up to 10% travel should be expected with this role

Relocation Assistance:
This role is not eligible for relocation

Remote Type:
This position is a hybrid of office/remote working

Skills:
Agility core practices, Agility core practices, Asset Availability Strategy, Asset health monitoring, Asset Life Cycle Management, Cost-conscious decision-making, Defect Elimination, Digital Analytics, Equipment criticality assessment, Equipment general, Equipment strategies, Facilitation, history and coding, Influencing, Maintenance, Maintenance fundamentals (Inactive), Management of change, Plant Economics, Problem Solving, Process Safety Management, Production loss accounting or deferrals, Reliability analytics, Reliability Fundamentals, Reliability in Design, Reliability leadership and governance {+ 6 more}