Data Engineer

We are seeking a Data Engineer to join our growing Business Data team within Internal Technology. The role will focus on building, maintaining, and evolving a centrally governed business data platform, supporting analytical and operational use cases across the organisation. Working closely with Senior and Lead Data Engineers, as well as business stakeholders, you will contribute hands‑on to data ingestion, transformation, and modelling activities using our core data platform technologies. This role is well suited to someone who enjoys translating business data requirements into robust, scalable data solutions and wants to deepen their experience in an enterprise data environment. You will operate in a collaborative, intellectually stimulating environment, with exposure to modern cloud‑native data tooling and real‑world business problems in a fast‑growing, data‑driven organisation.

Key Responsibilities

• Build and maintain reliable data pipelines to ingest and transform data from enterprise systems, including finance, CRM, HR, and collaboration platforms.
• Develop and manage data transformations to support business intelligence and analytical use cases.
• Contribute to the design and implementation of dimensional and analytics‑friendly data models.
• Work with senior engineers to implement data engineering best practices, standards, and governance controls.
• Support data quality, validation, and monitoring processes to ensure trusted reporting and insights.
• Collaborate with analysts, engineers, and business stakeholders to understand reporting requirements and translate them into technical solutions.
• Contribute to documentation, data lineage, and technical knowledge sharing across the team.

Skills, Knowledge and Expertise Required attributes:

• Experience delivering data engineering solutions in a production environment.
• Practical experience with: SQL for data transformation and modelling, Python for data processing or orchestration, Cloud‑based or modern data platforms (e.g. Microsoft Fabric or equivalent).
• Experience ingesting data from relational databases and/or SaaS platforms via APIs.
• Understanding of core data engineering concepts such as data quality and validation, basic data governance principles.
• Strong analytical and problem‑solving skills, with attention to detail.
• Good communication skills, with the ability to work effectively with technical and non‑technical stakeholders.
• Ability to manage tasks independently while contributing effectively within a team.
• Exposure to PySpark or notebook‑based data development.
• Familiarity with enterprise systems such as ERP, CRM, or HR platforms.
• Experience working in a governed, multi‑environment (DEV / TEST / PROD) data platform.
• Awareness of CI/CD or DevOps practices for data engineering.
• Interest in building scalable and maintainable data platforms in a fast‑growing organisation.

What we offer

• Private Medical Insurance
• Parental Support
• Employee Assistance Programme (EAP)
• Local Oxford Discounts
• Cycle‑to‑work Scheme
• Flu Jabs

At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in‑office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.