Principal Data Engineer
Aberdeen
- Edinburgh, Scotland, United Kingdom
- Edinburgh, Scotland, United Kingdom
About
About the Company 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.
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.
Aberdeen comprises three businesses: Interactive Investor (ii), Investments, and Adviser. Each focuses on meeting and adapting to our clients’ evolving needs.
About the Role We are looking for an exceptionally talented and knowledgeable Principal Data Engineer to deliver best practice data architecture for the Adviser business, and to help integrate data with our clients. They will own the technical design and delivery of data and software architecture, whilst embracing the latest technology. This opportunity is perfect for someone who wants a senior “hands on” technical role with senior stakeholder interaction.
As Principal Data Engineer, you will be the strategic authority on data architecture across the organisation. You will define and evolve the enterprise-wide architecture that underpins analytics, reporting, and operational systems, ensuring it is future‑ready, resilient, and aligned with business strategy.
Key Responsibilities
Lead the design and implementation of scalable data and software architectures across cloud and hybrid environments.
Architect and optimise modern data warehousing solutions, with a preference for Microsoft Fabric and other cloud‑native platforms.
Develop and maintain robust data models (conceptual, logical, physical) across relational, dimensional, and NoSQL paradigms.
Write and optimise complex SQL queries and Python scripts for data processing, transformation, and analysis.
Apply data architecture frameworks such as TOGAF and DAMA‑DMBOK to guide enterprise data strategy and governance.
Design and implement data integration pipelines using ETL/ELT methodologies and API‑driven architectures.
Oversee data governance initiatives including metadata management, data quality, and master data management (MDM).
Evaluate and integrate big data technologies and streaming platforms such as Apache Kafka and Apache Spark.
Collaborate with cross‑functional teams to align data architecture with business goals and technical requirements.
About the Candidate
Exceptional stakeholder engagement, communication, and organisational skills.
Strong analytical thinking and problem‑solving capabilities.
Advocate for continuous learning and professional development.
Experienced in mentoring and managing data professionals.
Extensive track record of delivering high‑impact data architecture solutions.
Proven success implementing robust data architectures across multiple organisations.
Financial services experience, with domain knowledge considered desirable.
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.
Inclusive Work We’re 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.
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Languages
- English
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