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Senior engineer - data

Edinburgh
Aberdeen
Engineer
Posted: 29 October
Offer description

Job Description

At Aberdeen, our ambition is to be the UK’s leading Wealth & Investments group. Strengthening talent and culture is a strategic priority. We strive to make Aberdeen a great place to work and to attract and retain the industry’s best talent. Our people put our stakeholders at the heart of everything they do, 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.

Aberdeen comprises three businesses:

* Interactive Investor (ii) – the UK’s second largest direct-to-consumer investment platform that enables individuals to plan, save and invest in the way that works for them.
* Adviser business – provides financial planning solutions and technology for UK advisers, enabling them to create value for their customers.
* Investments business – a specialist asset manager focusing on areas where we have strength and scale, capitalising on key market themes through public markets or alternative asset classes.


About The Department

The Client Domain designs, evolves and communicates data models that underpin digital and analytical solutions. It works closely with architects, technical leads and business stakeholders to shape data capabilities that drive client‑focused outcomes.


About The Role

We are seeking a detail‑oriented and technically proficient Senior Engineer to join our Data & Analytics team. This role delivers clean, modern and efficient data solutions across cloud‑native platforms.


Key Responsibilities

* Develop solutions across Snowflake, Azure and DBT platforms.
* Lead migration and optimisation of applications using Azure cloud‑native services.
* Write clean, testable and maintainable code following industry standards.
* Implement CI/CD pipelines and test automation using Azure DevOps or JIRA.
* Apply AI‑powered development tools to improve engineering productivity.
* Drive continuous improvement in tools, technologies and practices.
* Participate in Agile ceremonies including sprint planning and retrospectives.
* Mentor peers and junior team members through technical guidance.
* Collaborate with stakeholders to deliver user‑centric solutions.


About The Candidate

* Strong understanding of data warehousing, ELT/ETL processes and data modelling.
* Proficiency in Azure, Snowflake and DBT.
* Experience in application modernisation and migration.
* Ability to produce clean, testable and maintainable code.
* Experience implementing CI/CD pipelines and test automation.
* Familiarity with AI‑powered development tools such as GitHub Copilot.
* Mentorship and knowledge‑sharing abilities.


Benefits

• 40 days annual leave • 16% employer pension contribution • Discretionary performance‑based bonus (where applicable) • Private healthcare • Flexible benefits – gym discounts, season ticket loans and an employee discount portal.


Commitment to Disability Inclusion

We are proud to be a Disability Confident committed employer. If you have a disability, please notify us by completing the relevant section in our candidate questionnaire. Our team will reach out to support you through your application process.

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