Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
At bp, we’re reimagining energy for people and our planet. With operations working across almost every part of the energy system, we’re leading the way in reducing carbon emissions and developing more sustainable methods for solving the energy challenge.
We’re a diverse team of engineers, scientists, traders and business professionals determined to find answers to problems that must be solved. But we know we can’t do it alone. We’re looking for people who share our passion for reinvention to bring a new point of view, collaborative spirit, and to challenge our thinking in our ambition to achieve net zero!
ROLE SYNOPSIS
The Staff Data Engineer will work on a variety of data engineering projects across our customer facing businesses. The individual will combine their technical expertise with strong discernment and data domain knowledge to add new value for bp by defining, building, and supporting BigData & analytics products. They will lead teams and will also continue to be hands-on, for example writing and reviewing code, architecting distributed data systems, and providing concrete, pragmatic insights in technical design reviews. Data Engineering & Data Management is a team at bp and the individual will contribute to building and networking within the team.
#bpdataanalytics
KEY ACCOUNTABILITIES
ESSENTIAL EDUCATION
ESSENTIAL EXPERIENCE AND JOB REQUIREMENTS
DESIRABLE CRITERIA
BP plc is a British oil and gas company headquartered in London, England. It is one of the world's seven oil and gas "supermajors". It is a vertically integrated company operating in all areas of the oil and gas industry, including exploration and extraction, refining, distribution and marketing, power generation, and trading.