Senior data engineer

frameworks, automation and engineering patterns to accelerate delivery.Ensure data solutions are secure, performant, resilient and cost-efficient.Implement CI/CD, automated testing, monitoring and observability across data platforms.Solution DesignTranslate business requirements into data models, pipelines and technical solutions.Design logical and physical data models supporting reporting, analytics, AI and operational use cases.Collaborate with enterprise and solution architects to align solutions with strategic technology standards.Evaluate new technologies and recommend improvements to existing platforms.Data Management and GovernanceSupport implementation of data governance, quality, lineage and metadata management practices.Ensure data assets meet applicable regulatory, audit and control requirements.Drive improvements in data quality and trusted data consumption.Leadership and CollaborationProvide technical leadership across delivery teams.Mentor and coach data engineers and

development teams.Collaborate with Product Managers, Data Scientists, AI Engineers and Finance stakeholders.Contribute to engineering standards, best practices and continuous improvement initiatives.Essential Skills and ExperienceTechnicalSignificant experience delivering enterprise-scale data engineering solutions.Strong SQL and data modelling expertise.Experience with cloud data platforms, with Azure experience preferred.Experience building ELT/ETL pipelines and data integration solutions.Strong software engineering practices, including source control, testing, CI/CD and automation.Experience with big data, streaming and modern data architectures.Knowledge of security, access controls and data governance requirements.What we expect:Drive continuous optimization of data pipelines to improve performance and scalabilityIdentify opportunities to reduce data volumes and optimize storage efficiency across the organizationLead initiatives focused on process efficiency and operational excellencePromote a data-driven culture by leveraging insights to support business decisionsPreferred ExperienceFinance, Treasury, Tax, FP&A or ERP data domains.SAP, S/4HANA, Fiori or enterprise finance platforms.Data products supporting AI, machine learning or generative AI use cases.Experience with Databricks, Microsoft Fabric, Snowflake or comparable cloud data platforms.Experience operating within Agile product teams.Why join us?At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity.There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others!We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Reinvent your career as you help our business meet the challenges of the future. Apply now!Travel RequirementUp to 10% travel should be expected with this roleRelocation Assistance:This role is not eligible for relocationRemote Type:This position is a hybrid of office/remote workingSkills: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 (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving.Future Location Notice