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For Companies At a Glance
- Tasks: Build and evolve a modern cloud data platform using Azure, Snowflake, and DBT.
- Company: Join Aberdeen, the UK's leading Wealth & Investments group focused on innovation.
- Benefits: Enjoy 40 days annual leave, private healthcare, and flexible benefits.
- Why this job: Make a real impact by revolutionising data accessibility and driving sustainable investment.
- Qualifications: Experience with Azure, Snowflake, and strong scripting skills in SQL, PowerShell, and Python.
- Other info: Embrace a blended working approach in an inclusive culture that values diverse perspectives.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Join to apply for the Cloud Data Engineer role at hackajob.
hackajob is collaborating with Aberdeen to connect them with exceptional tech professionals for this role. Aberdeen aims to be the UK’s leading Wealth & Investments group, focusing on growing direct and advised wealth platforms and repositioning its specialist asset management business to meet client demand. They are committed to excellent client service supported by leading technology and talent.
About The Department
Join Aberdeen’s Investments department, where we help clients plan and invest with confidence for a brighter future. Our dynamic Data Tribe, led by the Chief Data Officer, is revolutionizing data accessibility and innovation through a cutting-edge Data Mesh architecture. Collaborate with passionate teams to unlock powerful data insights that drive sustainable investment and fuel scalable growth.
About The Role
As a Data Platform Engineer at Aberdeen, you will be at the heart of building and evolving a modern, cloud-based data platform using Azure, Snowflake, DBT, and Microsoft Fabric. Working within a Data Mesh architecture, you will enable decentralized data ownership and empower domain teams through self-service data capabilities. Your expertise will drive the design, implementation, and automation of scalable, secure data solutions, ensuring high performance, governance, and compliance. This is a pivotal role where you will collaborate closely with cross-functional teams to deliver innovative data products that fuel business growth and unlock meaningful insights.
Key Responsibilities
- Design and implement a Data Mesh architecture, enabling decentralized data ownership and collaboration across domain teams.
- Develop and maintain scalable cloud data infrastructure using Azure, Snowflake, DBT, and Microsoft Fabric, ensuring performance and automation.
- Build self-service data platforms and automate data pipelines to empower domain teams to manage their own data products independently.
- Collaborate with teams to define data product standards, governance policies, and ensure compliance with security and regulatory requirements.
- Optimize data warehousing and orchestration workflows for efficiency, cost-effectiveness, and reliability across distributed data products.
- Provide technical guidance, monitoring, and support to domain teams, fostering knowledge sharing and continuous improvement.
The Ideal Candidate Will Possess The Following
- Strong hands-on experience with Azure services, including resource groups, networking, Data Factory, Key Vault, and Azure Fabric.
- Proven expertise in Snowflake administration, including database/user management, warehouses, role-based access control, and data sharing.
- Solid experience with DBT for data transformation, including best practices for modular, testable, and version-controlled data models.
- Proficiency in infrastructure-as-code deployments, especially using Terraform for Azure, Snowflake, and related platforms.
- Experience with Azure DevOps CI/CD pipelines, including YAML pipeline creation, artifact management, and automated secrets handling.
- Good scripting skills in SQL, PowerShell, and Python, combined with a strong understanding of security, compliance, and agile delivery methodologies.
Disability Confident Statement
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.
Our Benefits
There’s more to working life than coming home with a good salary. We offer an environment where you can learn, get involved and be supported. When you join us, your reward will include 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. Details are available on our benefits page.
Our Business
Our business is structured around three distinct areas focused on our clients’ evolving 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. Aberdeen employs a blended working approach, combining in-office collaboration, coaching and connectivity with the flexibility of working from home. We are committed to an inclusive culture where diverse perspectives drive our actions. If you need assistance with your application or a reasonable adjustment to interview arrangements, please let us know and we’ll be happy to help.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Software Development
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Cloud Data Engineer employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Aberdeen or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to Azure, Snowflake, and DBT. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview by practising common technical questions and scenarios related to cloud data engineering. Use mock interviews with friends or online platforms to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Aberdeen.
We think you need these skills to ace Cloud Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cloud Data Engineer role. Highlight your experience with Azure, Snowflake, and DBT, as these are key technologies for us. Use specific examples that showcase your skills in building cloud data platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our Data Tribe. Mention any relevant projects or experiences that align with our mission at Aberdeen.
Showcase Your Technical Skills: Don’t hold back on your technical skills! Be sure to include your hands-on experience with Azure services, Terraform, and CI/CD pipelines. We love seeing candidates who can demonstrate their expertise through real-world applications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at hackajob
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Snowflake, DBT, and Microsoft Fabric. Brush up on your hands-on experience with these technologies, as you'll likely be asked to discuss how you've used them in past projects.
✨Understand Data Mesh Architecture
Familiarise yourself with the principles of Data Mesh architecture. Be prepared to explain how decentralised data ownership works and how it can empower teams to manage their own data products effectively.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled challenges in data infrastructure or automation. Highlight your experience with CI/CD pipelines and infrastructure-as-code deployments, especially using Terraform.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data governance policies, team dynamics, and how they measure success in their data initiatives. This shows your genuine interest in the role and the company.
