Lead Data Engineer

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.

We are seeking a dynamic and experienced Lead Data Engineer to spearhead the development of our centralised “single view” data model and lead the evolution of our data engineering capabilities. This role is ideal for someone who thrives in a fast‑paced environment, enjoys mentoring others, and is passionate about shaping the future of data at Aberdeen.

• Lead the design and delivery of high‑quality, scalable, and impactful data models and pipelines.
• Architect and optimise data infrastructure to support advanced analytics, reporting, and AI initiatives.
• Champion data governance, security, and compliance across all engineering activities.
• Collaborate with stakeholders across technology, analytics, and business domains to understand data needs and translate them into robust solutions.
• Identify opportunities to enhance data capabilities and drive innovation through new tools, technologies, and methodologies.
• Mentor and coach junior engineers and analysts, fostering a culture of technical excellence and continuous learning.
• Own the delivery roadmap for data engineering initiatives, ensuring alignment with business priorities and timely execution.

• Proven experience leading data engineering initiatives and teams in complex, data‑rich environments.
• Deep expertise in the Microsoft Azure Stack and modern data architecture patterns.
• Experience with data & analytics platforms (e.g. MS Fabric).
• Strong proficiency in SQL, Python, and data orchestration tools (e.g. Azure Data Factory).
• Experience with data visualisation tools, ideally Power BI, and delivering data models that support self‑service analytics.
• Excellent communication and stakeholder management skills, with the ability to influence technical and non‑technical audiences.
• Strong analytical thinking and problem‑solving abilities, with a strategic mindset.
• Passion for continuous learning, innovation, and driving data maturity across the organisation.

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.

There’s more to working life than coming home with a good salary. 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.

• Mid‑Senior level

• Full‑time

• Information Technology