Engineer (Data Platform) - ITO Asset Mgmt

At Aberdeen, our ambition is to be the UK’s leading Wealth & Investments group. Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industry’s best talent. Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients, customers, colleagues, shareholders, and society. We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent.

As an Engineer (Data Platforms), you will be a member of the Development Chapter within the Asset Management Tribe, reporting to the Development Chapter Lead and working as part of a cross-functional team. You will contribute to the design, development, and support of systems that are critical to our investment operations and reporting capabilities. The solutions you develop will support investment professionals across the firm, giving you visibility and the chance to make a tangible impact on decision-making and operational efficiency.

This role is focused on building and maintaining the data platforms and pipelines that underpin our investment data products. These products are central to many of the initiatives within the Tribe and are used across the organisation to support portfolio management, analytics, and regulatory reporting. As such, we are looking for engineers who can hit the ground running - with the ability to quickly understand investment data, navigate complex data flows, and deliver robust, scalable solutions. You will work closely with data analysts, investment teams, and other engineers to ensure the quality, availability, and performance of our data products. This includes developing and maintaining data pipelines, integrating with cloud-native platforms, and contributing to the evolution of our data architecture. A strong understanding of data modelling, transformation, and governance is essential, along with the ability to collaborate effectively in a fast-paced, Agile environment.

Key Responsibilities

• Design, develop, and maintain robust, scalable data pipelines and services that support investment data products and reporting platforms.
• Build and optimise data integration workflows using tools such as Azure Data Factory, Synapse Pipelines, and SQL/T-SQL, ensuring data quality, performance, and reliability.
• Contribute to the evolution of our cloud-native data architecture, leveraging Azure Databricks, Azure Data Lake, and Snowflake where appropriate.
• Apply strong data modelling and transformation skills to support analytics, regulatory reporting, and operational use cases.
• Promote and implement engineering best practices, including test automation, unit testing, and CI/CD pipelines.
• Support data governance and metadata management initiatives to ensure data integrity and compliance.
• Explore and apply AI-assisted development tools (e.g. GitHub Copilot) and automation to improve engineering efficiency and solution quality.

About the Candidate

We are looking for a highly capable and detail-oriented engineer who thrives on working with complex, high-volume data systems. You should be comfortable navigating large datasets, applying best practices in data modelling and transformation, and leveraging cloud-native tools to deliver solutions that are both technically sound and operationally sustainable. A mindset focused on automation, observability, and continuous improvement is essential, as is the ability to collaborate effectively with both technical and non-technical stakeholders.

The ideal candidate will possess the following:

• Understanding of Agile delivery and collaborative development in an Asset Management or Finance Technology environment.
• Experience in SQL.
• Exposure to cloud platforms such as Azure and Snowflake.
• Understanding of Python for data engineering and transformation.
• Familiarity with DevOps tooling and CI/CD pipelines.
• Strong foundation in software development practices, including unit testing, code deployment and production support.

We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under the Disability Confident Scheme, please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process.

Our benefits

There's more to working life than coming home with a good salary. We have an environment where you can learn, get involved and be supported. When you join us, your reward will be one of the best around. This includes 40 days’ annual leave, a 16% employer pension contribution, a discretionary performance-based bonus (where applicable), private healthcare and a range of flexible benefits – including gym discounts, season ticket loans and access to an employee discount portal.

An inclusive way of working

Whatever way you like to work, if you have the talent and commitment to join our team, we’d like to hear from you. At Aberdeen we’ve adopted a ‘blended working’ approach. This approach combines the benefits of face-to-face collaboration, coaching and connecting in our offices with the flexibility of working from home. It enables colleagues to find a balance that works for their roles, their teams, our clients and our business.

An inclusive culture, where diverse perspectives drive our actions, is at the core of who we are and what we do. If you need assistance with your application, or a reasonable adjustment to your interview arrangements – for example, because you are neurodivergent, or have a physical, sensory, cognitive, mental, visible or invisible disability – please let us know and we’ll be happy to help.

We’re committed to providing an inclusive workplace where all forms of difference are valued and which is free from any form of unfair or unlawful treatment. We define diversity in its broadest sense – this includes but is not limited to our diversity of educational and professional backgrounds, experience, cognitive and neurodiversity, age, gender, gender identity, sexual orientation, disability, religion or belief and ethnicity and geographical provenance. We support a culture that values meritocracy, fairness and transparency and welcomes enquiries from everyone.