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- Tasks: Develop a centralised data model for insights and reporting.
- Company: Aberdeen aims to be the UK's leading Wealth & Investments group.
- Benefits: Enjoy 40 days annual leave, private healthcare, and flexible benefits like gym discounts.
- Why this job: Make a real impact with data-driven decisions in a supportive, innovative environment.
- Qualifications: 10+ years in data analysis; expertise in Microsoft Azure, SQL, and Python required.
- Other info: Blended working approach with a commitment to inclusivity and diversity.
The predicted salary is between 48000 - 84000 £ per year.
Join to apply for the Senior Data Engineer role at Aberdeen
Join to apply for the Senior Data Engineer role at Aberdeen
Job Description
At Aberdeen, our ambition is to be the UK’s leading Wealth & Investments group.
Job Description
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.
Aberdeen Comprises Three Businesses, Interactive Investor (ii), Investments And Adviser, Each Of Which Focuses On Meeting And Adapting To Our Clients’ Evolving Needs
- interactive investor, the UK’s second largest direct-to-consumer investment platform, enables individuals in the UK to plan, save and invest in the way that works for them.
- Our Adviser business provides financial planning solutions and technology for UK financial advisers, enabling them to create value for their customers.
- Our Investments business is a specialist asset manager that focuses on areas where we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes.
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 fast-track their personal development whilst putting their own stamp on our approach to data and analytics.
This role will play a critical part in driving data-driven decision-making 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 multi-discipline 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 back-end and front-end 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.
Candidate Requirements
- 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.
- Strong communication and organisation skills.
- Strong analytical thinking and problem-solving skills.
- Ability to work in a fast-paced environment, prioritise tasks, and meet deadlines.
- Strong attention to detail.
- A passion for continuous learning and self-improvement.
- 10+ years proven experience in data and analysis with a track record of value-add deliveries.
- Previous experience in financial services or with market data is desirable.
We are a Disability Confident Committed employer and are happy to provide adjustments to the recruitment process to support candidates.
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. You can read more about our benefits here.
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 do here.
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.
If you need assistance or an adjustment due to a disability please let us know as part of your application and we will assist.
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Senior Data Engineer employer: aberdeen
Contact Detail:
aberdeen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the Microsoft Azure Stack, as it's a key requirement for the Senior Data Engineer role. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to mastering this technology.
✨Tip Number 2
Network with current employees at Aberdeen or in similar roles within the financial services sector. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations, which can help you tailor your approach.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools, particularly Power BI. Think of specific examples where you've successfully delivered impactful data models, as this will showcase your ability to meet the role's requirements.
✨Tip Number 4
Highlight your problem-solving skills during interviews by preparing scenarios where you've improved data quality or efficiency. This will demonstrate your analytical thinking and ability to drive value through data-driven decision-making.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Engineer role. Focus on your expertise in the Microsoft Azure Stack, SQL, Excel, and Python, as well as any experience with data visualisation tools like Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background makes you a great fit for Aberdeen. Mention specific projects or achievements that demonstrate your ability to deliver high-quality data models and improve data quality.
Showcase Your Problem-Solving Skills: Provide examples in your application of how you've tackled complex data challenges in the past. Highlight your analytical thinking and problem-solving abilities, especially in fast-paced environments.
Emphasise Team Collaboration: Aberdeen values teamwork, so be sure to mention your experience working collaboratively across multi-discipline teams. Discuss how you've built relationships with stakeholders and contributed to a positive team environment.
How to prepare for a job interview at aberdeen
✨Showcase Your Technical Skills
As a Senior Data Engineer, you'll need to demonstrate your expertise in the Microsoft Azure Stack and data tools like SQL, Excel, or Python. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Emphasise Communication and Collaboration
Aberdeen values strong communication skills and teamwork. Highlight your experience working with multi-discipline teams and how you've effectively managed stakeholder relationships in previous roles.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your analytical thinking and problem-solving abilities. Prepare examples of challenges you've encountered in data engineering and how you overcame them to deliver value.
✨Demonstrate Continuous Learning
Aberdeen appreciates candidates who are passionate about self-improvement. Share any recent courses, certifications, or personal projects that showcase your commitment to staying updated in the field of data engineering.
