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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.
At Aberdeen, our ambition is to be the UKs leading Wealth & Investments group.
- interactive investor, the UKs 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 Department
The Data Engineering team sits within the wider Data & Analytics function at Aberdeen, delivering high-quality 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 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.
Key Responsibilities
- Deliver high quality and high impact data models.
- Analyse raw data and develop and maintain datasets.
- Improve data quality and efficiency and build pipelines.
- Ensure 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.
- Mentor junior team members and the wider business.
About The Candidate
The ideal candidate will possess the following:
- Expert in the Microsoft Azure Stack.
- Experience using data tools such as SQL, Excel, or Python.
- Experience with data & analytics platforms (e.g. MS Fabric)
- 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.
- A passion for continuous learning and self-improvement.
- Extensive proven experience in data and analysis with a track record of value-add deliveries.
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.
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.
Inclusive Workplace
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.
Location
Edinburgh, Scotland, United Kingdom
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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.
