Senior data engineer
bp is hiring a Senior Data Engineer to design, build, and operate scalable cloud data platforms and pipelines supporting Finance, covering data modelling, ELT/ETL, governance, CI/CD, and technical leadership/mentoring. Hybrid role based in Sunbury on Thames, with Azure preferred plus Databricks, Fabric, Snowflake, and SAP exposure.
- Compensation
- Not disclosed
- Location
- Sunbury on Thames, United Kingdom
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Significant 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: 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
- Strong problem-solving and systems-thinking capability
- Ability to balance strategic design with hands-on delivery
- Comfortable operating in complex, global organisations
- Strong partner management and communication skills
- Demonstrated ability to work through ambiguity and drive outcomes
Nice to have
- Finance, Treasury, Tax, FP&A or ERP data domains experience
- SAP, S/4HANA, Fiori or enterprise finance platforms experience
- 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
Full description
Entity: Technology
Job Family Group: IT&S Group
Job Description:
Role Summary
We are seeking an experienced Senior Data Engineer to design, build and operate scalable data platforms, pipelines and products that enable data-driven decision making across Finance. This role combines strong software engineering practices with modern cloud data technologies to deliver trusted, secure and high-quality data products.
The successful candidate will work closely with business partners, product teams, architects, data managers and analytics specialists to transform complex business requirements into robust data solutions. They will lead technical delivery, drive engineering excellence and help establish modern data engineering practices across the organisation.
Key Responsibilities
Data Platform and Engineering
- Design, develop and maintain scalable data pipelines and integrations.
- Build and operate cloud-based data platforms, data products and analytical datasets.
- Develop reusable 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 Design
- Translate 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 Governance
- Support 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 Collaboration
- Provide 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 Experience
Technical
- Significant experience delivering enterprise-scale data engineering solutions.
- Strong SQL and data modelling expertise.
- Experience with cloud data platforms, with Azure experience preferred.