Graduate 2027: Data Engineer/Digital

About this job

Are you a data enthusiast eager to build the robust data foundations that power advanced analytics and AI? Join our Graduate Program as a Data Engineer/Digital, where you'll architect intelligent solutions from complex industrial data, shaping Aker BP's journey to become the first AI-native E&P company. Need to have Hold an M.Sc. degree in Computer Science, Data Engineering/Science, Software Engineering, Informatics, Applied Mathematics/Statistics, Cybernetics, or a closely related engineering field with a strong programming and data component. A petroleum or energy background with genuine coding ability is also welcome. Possess solid programming fundamentals (ideally Python), working knowledge of SQL/relational data, and a real grasp of data structures and software engineering practices (version control, testing). Demonstrate the ability to write tested, production-grade code. Be fluent in English (written and spoken) for professional communication. Hold a valid EEA work permit and be able to work from our Norway office locations. Nice to have Have relevant practical experience from internships, summer jobs as a developer/data engineer, a relevant bachelor/master thesis or research project, hackathons, open-source contributions, or having built something real (e.g., data pipeline, application, model) outside coursework. Exposure to cloud platforms (Azure preferred), distributed data processing (Spark/Databricks), databases & data modeling, ML/AI foundations, DevOps/CI-CD, and software architecture. Familiarity with tools and languages such as Python, SQL, Git, Spark/Databricks, Docker/containers, dbt, and agile methodologies. Be genuinely curious and pragmatic, motivated by building usable solutions and transforming messy data into clean, reliable insights. Demonstrate strong collaboration and communication skills, with a positive energy that contributes to team dynamics. About the job This is not just a graduate program; it's the start of your journey to build the critical data infrastructure for a leading energy company. As a Data Engineer/Digital in our 2027 Graduate Program, you will be at the forefront of Aker BP's ambition to become the world's first AI-native E&P company. Through a series of rotations, you will develop the skills to handle complex data challenges, architect robust data platforms, and contribute directly to our goal of a 3x productivity improvement through data-driven innovation. Build & Operate pipelines Design, develop, and maintain data pipelines that move and model industrial data from diverse source systems (operational, subsurface, sensor) into our central platform. Contextualize industrial data Contribute to data products in Cognite Data Fusion (CDF), structuring and contextualizing complex industrial data for broad business use. Cloud-native development Develop transformations and models in our cloud/lakehouse environment (Azure + Databricks/Spark), writing tested, production-grade code with Git and CI/CD. Ensure data quality Support data quality, monitoring, and reliability by investigating broken pipelines, tracing data lineage, and enhancing observability to build trust in our data. Collaborate & Innovate Work closely with data consumers (analysts, domain experts) to translate business questions into impactful data solutions, fostering a data-driven culture. Your journey in the Data Platform Ecosystem This program offers a comprehensive immersion into the diverse facets of data engineering. You'll gain a holistic understanding of how data is captured, processed, and utilized across our operations, empowering the next generation of energy solutions. Onboarding & Fundamentals Gain immediate hands-on experience, learn our tooling and stack, and contribute small, well-scoped tasks within weeks, guided by senior engineers. Pipeline ownership By month 6, you'll own the end-to-end delivery of well-defined data pipelines and products, becoming a reliable contributor to your squad. Problem shaping & Delivery By month 18, you'll be trusted to take ambiguous stakeholder problems, shape them into robust data solutions with limited oversight, and begin mentoring new graduates. Platform contribution Actively participate in code reviews, agile ceremonies, and platform improvements, contributing to how we work and continuously enhancing our data infrastructure. Data liberation initiatives Engage in initiatives to make data more accessible and self-serve, directly enabling AI and agentic use cases on well-governed data. Advanced data solutions Explore areas like distributed data processing, advanced data modeling, and ML/AI integration, pushing the boundaries of what our data can achieve. What we offer Professional development We are committed to providing graduates with varied experience and enhancing your expertise, helping you build a strong CV for the future. Competitive compensation We offer a competitive salary, an opportunity to earn bonuses, a share savings programme, and a solid p

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