Data Engineer
Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Description
We are a global investment company that helps clients and customers to plan save and invest for the future. By doing so we enable our clients and customers to be better investors. 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 industrys 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.
aberdeen comprises three businesses Investments Adviser and interactive investor (ii) each of which focuses on meeting and adapting to our clients evolving needs.
Investments manages 368bn of client assets offering investment capabilities built on the strength of our insights from wideranging research worldwide investment expertise and local market knowledge.
Adviser provides financial planning solutions and technology to over half of the UKs financial advisers enabling them to create value for their businesses and clients.
ii the UKs secondlargest directtoconsumer investment platform helps over 430000 individual customers to plan save and invest in the way that works best for them
About the Department
The Data Engineering team sits within the wider Data & Analytics function at aberdeen delivering highquality reporting analytics and insights to key stakeholders. The team is focused on ensuring our data can be taken from source systems and joined together to create powerful data sets for use by the analytics team and the wider business.
About the Role
We are looking for a talented Senior Data Engineer to help develop a new centralised single view data model. This will be used to deliver new and improved insight and reporting to our key stakeholders. This opportunity is perfect for someone looking to fasttrack their personal development whilst putting their own stamp on our approach to data and analytics.
This role will play a critical part in driving datadriven decisionmaking and innovation within the company. It requires someone who has strong technical skills whilst being entrepreneurial and proactive with the ability to develop key stakeholder relationships quickly. You will also need to be a team player and collaborator working across multidiscipline teams and be confident working with other technical specialists and analysts.
Your primary responsibility will be to develop a multi sourced data model that can be used to create and delivery specific reporting data models that will be used for dashboards reporting and insights. The analytics this supports will drive tangible value and change for our clients and our business. You will need to blend a mix of backend and frontend data engineering to produce well governed and scalable data models.
Key Responsibilities
Deliver high quality and high impact data models.
Analysing raw data and developing and maintaining datasets.
Improving data quality and efficiency and building pipelines.
Ensuring compliance with data governance and security policies.
Work closely with all stakeholders ensuring they are managed effectively and that communication is timely and informative.
Identify new ways of using our data sources and help shape our data strategy.
Mentoring junior team members and the wider business community.
About the Candidate
The ideal candidate will possess the following:
Technical skills:
Expert in the Microsoft Azure Stack.
Experience using data tools such as SQL Excel or Python.
Expertise in delivering data models within data visualisation tools ideally with Power BI exposure.
Business Skills:
Strong communication and organisation skills.
Strong analytical thinking and problemsolving skills.
Ability to work in a fastpaced environment prioritise tasks and meet deadlines.
Strong attention to detail.
A passion for continuous learning and selfimprovement.
Experience:
Significant experience in data and analysis with a track record of valueadd deliveries.
Previous experience in financial services or with market data is desirable.
Reporting to: Head of Data Engineering
We are proud to be a Disability Confident Committed employer. Therefore 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 and one of our team will reach out to support you through your application process.
Our benefits
Theres 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 performancebased bonus (where applicable) private healthcare and a range of flexible benefits including gym discounts season ticket loans and access to an employee discount portal. You can read more about our benefitshere.
Our business
Enabling our clients to be better investors drives everything we do. Our business is structured around three distinct areas our vectors of growth focused on our clients changing needs. You can find out more about what we dohere.
Were 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.
If you need assistance or an adjustment due to a disability please let us know as part of your application and we will assist.
Employment Type
Full-Time
