Graduate programmes

Enterprise technology and service engineering provide the strategic technology platforms on which digital business solutions are built. These solutions will help turn our net zero ambitions into reality.

You will be embedded within one of our multi-disciplinary platform engineering teams and will learn the approaches and techniques to deliver high-value, highly scalable and resilient platforms to support the enterprise.

You will be exposed to new technologies and learn to build, maintain, and administer platforms across the enterprise. 

You will learn about our automation frameworks and will have the opportunity to develop your complex scripting (typically Python/C#/JSON) skills. You will engineer and automate robust, secure, and scalable cloud architectures in AWS and Azure along with opportunities in platforms as a service (PaaS) including Salesforce, ServiceNow, and Power Platforms.

Skills and experience

• A confirmed grasp of development fundamentals (in high-level languages such a C#/Java/Python/R) with desire and eagerness to learn more. Getting the basic's right will be key to your advancement in the field and will be the foundation through grow.
• An understanding of modern development methodologies (Agile using Scrum and/or Kanban) with real-world experience in automations using Python or other high-level languages. Even if you're new to coding, demonstrate your ability to rapidly explore new technologies.

Digital technology (data engineering) it’s all about the data! There is no surprise that data is a seamless fabric that pervades every corner of our planet, making it the most valuable renewable resource. Data’s value stems from its potential to be distilled into an essential commodity. In its most refined state, data can be transformed into knowledge which powers decision making and provides opportunities for operational efficiencies and increased revenue.

Come blaze passion into designing, building, and integrating big data with the data engineering team to help make data and its pipelines more useful to the enterprise. Supercharge your human operating system and learning capacity while experimenting with new technology products, building, and maintaining data structures and architecture for data ingestion and processing. You’ll learn techniques, approaches and help develop technology products that enable data discovery, visualization, and insights.

About you

• Apply your insatiable curiosity to create data ingestion patterns and deliver data to consumers
• Develop queries or algorithms to ingest data from various sources into a cloud-based environment and data ecosystem
• Build required infrastructure for optimal extraction, transformation and loading of data
• Assist in preparing big data infrastructure for large-scale data intensive applications
• Optimise and engineer cloud architectures, data storage technologies
• Activate your limitless potential in designing, building, and testing data products, scripts or connectors for advanced analytics

Skills and experience

• Experience designing, testing, optimizing, and troubleshooting ETL solutions. 
• Experience writing software in one or more programming languages (e.g. Python, Java, Scala).
• Experience with database technologies and SQL.

Do you have an obsession with data analytics, statistics or machine learning? Do you love finding exciting insights in deep and sophisticated datasets or optimize processes at scale using algorithms? Do you want to help bp tackle its most challenging problems?

We are looking for graduates who like working at-pace and believe that data can help drive phenomenal decision making. You will be embedded with a dynamic data-focused team. We will help you along your way, but you possess a spark that drives you forward and are comfortable operating with a degree of autonomy.

You will work with business people, other data scientists, data engineers, software engineers and domain specialists to understand the challenges to us achieving our aspirations.

You will dig into data sets and use tools and techniques to cleanse, rationalize and infer meaning out of data.

Skills and experience

Python, SQL, SAS, Excel and other data conversion tools, Tableau or PowerBI, source-code management and control tools Git, Jenkins and build systems and other tools commonly used in data science.

Our digital design team is working to humanize digital innovation in bp. We use design to help people engage with our company and with digital technology in new ways, empowering better experiences, safer operations and a more sustainable future. By joining our team, you will have access to resources from one of the world's largest technology departments and exposure to design projects across the breadth of bp global operations.

• Our product and service design experts shape the design aspects of a digital product, covering UX / UI to a website, platform or mobile application. They also integrate and connect all aspects of digital products and services, including design thinking.
• If you enjoy writing, storytelling or visual design, working within digital content design would be an ideal fit. This team owns and develops content for bp’s digital solutions and tools, including copywriting, content strategy, digital marketing and graphic design (e.g., print, digital, photography and video).
• Our designs are only successful if supported by effective research. The UX research team oversees and plans research aspects of design and user experience to add valuable insights to design processes. This includes measuring the user experience by collecting feedback, analyzing trends and conducting usability testing.
• If design engineering is your future, you’ll have an opportunity to help define the technology, tools, architecture and engineering for design in bp. This is a broad and interesting domain, that combines design creativity with developer skills to execute full-stack design for digital outputs, including pattern libraries, frameworks and mobile interfaces.
• Within design operations you’ll have an opportunity to coordinate design projects and support operational delivery. This team plans and executes all design operations and design business engagements with key stakeholders, as well as scopes design requests and studio resourcing.

Skills and experience

We also value skills in Lean UX or Agile methods like Scrum or Kanban, or experience working in a collaborative, agile environment.

As a data operations graduate trainee , you will be joining our growing data management team – a function delivering a range of master data services for bp businesses and enabling functions on finance, vendor, customer, material, pricing and product data.  We strive to deliver integrated processes, data and systems across the business units while ensuring adherence to policies and procedures in the drive for exceptional customer service, operational excellence and compliance.  

You will have the opportunity to administer large data sets and deepen operational acumen in data quality, control, improvement and compliance. 

The primary accountabilities include:

• Data processing: creates, updates and validates master data to ensure data input is consistent with the data standards, timely and meets the required levels of completeness.
• Data quality: executes data gathering and analysis to maintain the data quality and integrity standard or compliance measures set out by the data governance.
• Issue resolution: troubleshoot data issues, ensuring data accuracy and resolving data discrepancies in a timely manner.
• Continuous improvement: provide analysis and feedback/suggestions on any discrepancies detected to improve existing processes for efficiencies, and quality as well as build robust control and compliance.
• Documentation:  develop and update process documents/procedures to ensure thoroughness in process documentation in place to reflect any operational changes. 

Skills and experience

• Execute day-to-day master data activities related to operational tasks to ensure delivery meets business expectations and is consistent with set process performance indicators, applicable service level expectations and bp's core values.
• Create and maintain the master data not limited to vendor master, customer master, material master, pricing master and finance master to ensure that the master data is kept up-to-date and in a consistent and organized manner.
• Leverage understanding of specific processes/systems.
• Highlight process gaps and inefficiencies; proactively seek solutions to increase efficiency & effectiveness.
• Power BI, power app experience is preferred.