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Data Engineer – Business Data Team
Department: Internal Technology Location: Oxford, UK
Application Note: We are open to considering candidates who require visa sponsorship, subject to eligibility and company approval.
We are gathering a talented Data Engineer to join our growing Business Data team within Internal Technology. The role focuses on building, maintaining, and evolving a centrally governed business data platform, supporting analytical and operational use cases across the organisation.
In this collaborative, intellectually stimulating environment, you’ll partner with Senior and Lead Data Engineers and business stakeholders to develop and maintain reliable data pipelines, while deepening your expertise in cloud-native data platforms and enterprise data solutions. This role is ideal for someone who enjoys translating business data requirements into scalable, robust technical solutions.
Key Responsibilities
Responsibilities include (but are not limited to):
- Design and maintain data ingestion and transformation pipelines, sourcing from enterprise systems (e.g., finance, CRM, HR, collaboration platforms)
- Develop and manage data transformations to support business intelligence and analytical use cases
- Contribute to dimensional and analytics-friendly data models, ensuring ease of querying for reporting
- Work with senior engineers to enforce data engineering best practices, standards, and governance controls
- Oversee data quality, validation, and monitoring processes to ensure trusted reporting, insights, and decisions
- Collaborate with analysts, engineers, and business stakeholders to understand reporting needs and translate them into technical solutions
- Contribute to documentation, data lineage, and technical knowledge sharing across the team
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Requirements
Required Attributes
Candidates must demonstrate:
- Experience delivering data engineering solutions in production environments
- Practical proficiency in:
- SQL (for data transformation and modelling)
- Python (for data processing or orchestration)
- Cloud-based or modern data platforms (e.g., Microsoft Fabric or equivalent)
- Ingesting data from relational databases or SaaS platforms via APIs
- Understanding of core data engineering principles, including:
- Data modelling (e.g., dimensional models)
- Data quality and validation techniques
- Basic data governance principles
- Strong analytical and problem-solving skills, with attention to detail
- Clear communication skills enabling collaboration with both technical and non-technical stakeholders
- Ability to manage tasks independently while contributing effectively to a team environment
Desirable (but not mandatory) Attributes
- Exposure to PySpark or notebook-based data development
- Familiarity with enterprise systems (e.g., ERP, CRM, HR platforms)
- Experience in governed, multi-environment (DEV/TEST/PROD) data platforms
- Awareness of CI/CD or DevOps practices for data engineering
- Interest in building scalable and maintainable data platforms in an analysis-driven organisation
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What We Offer
We provide a strong benefits package, including:
- Private Medical Insurance
- Dental Insurance
- Parental support
- Salary-exchange Pension (flexible retirement contribution)
- Employee Assistance Programme (EAP) (for mental and emotional well-being)
- Local Oxford discounts (discounts on regionally sourced products/services)
- Cycle-to-work Scheme (sponsored bike purchase and maintenance)
- Flu jabs (medical preventative measures)
Work flexibility is a priority:
- Most roles are hybrid, offering a blend of in-office and home working
- Adjustable working hours where possible
We are committed to an inclusive workplace, and all employees or applicants will receive consideration without discrimination based on:
- Age
- Disability
- Gender reassignment
- Race
- Religion or belief
- Sex
- Sexual orientation
- Marriage or civil partnership
- Pregnancy or maternity
How to Apply
To apply, please submit:
- Résumé / CV
- Personal summary
- Salary expectations
- Your notice period
Due to process constraints, we can only accept applications submitted via the link provided.
Applications sent via email, telephone, or social media will not be considered.
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