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- Tasks: Build and optimise Azure-native data pipelines for AI-led transformation.
- Company: Join a pioneering UK fintech organisation driving innovation in financial services.
- Benefits: Enjoy up to £75,000 salary, flexible remote work, 25+ days leave, and comprehensive health benefits.
- Why this job: Be part of a fast-moving team making real-world impacts with cutting-edge technology.
- Qualifications: 2-3+ years in Azure data solutions; strong communication skills and agile experience required.
- Other info: This is a 12-month FTC role perfect for those seeking a new challenge.
The predicted salary is between 54000 - 84000 £ per year.
Azure Data Engineer – FinTech | Azure | Data |12-month FTC
London – Remote in office 4 times in a fortnight (flexible)
Salary & Benefits – Up to £75,000 + 8 to 12% Pension, Life Assurance, Health & Dental Insurance, 25+ days annual leave + other flexible benefits
Azure Data factory | Logic Apps | Azure Batch | Azure Functions | Azure DevOps
I\’m working with a pioneering organisation in the UK fintech landscape who are on the hunt for an experienced Azure Data Engineer to join their fast-moving Intelligent Automation Team.
This isn\’t your average data gig. You\’ll be building and scaling Azure-native pipelines that power the next phase of AI-led transformation in financial services. If you\’re passionate about clean architecture, impactful automation, and cutting through the noise with robust cloud data solutions – you\’ll thrive here.
This role is a 12 month FTC and would suite someone who wants to dive into a new challenge for the next year or so.
Role as an Azure Data Engineer:
- Crafting and optimising data pipelines using Azure services
- Collaborating with product owners, developers, and analysts in an agile setup
- Owning user stories and driving sprint planning from a data perspective
- Sharing knowledge across tech teams and building documentation that lasts
- Azure Data Factory, Logic Apps, Azure Functions, Batch
- SQL, Cosmos DB
- CI/CD with Azure DevOps & Bicep Templates
- Bonus: Python and Power Platform exposure
- 2-3+ years building scalable data solutions in Azure
- A strong grasp of cloud data architecture and agile delivery
- Excellent stakeholder communication – you can make technical concepts land with clarity
Email: (see below)
Azure Data factory | Logic Apps | Azure Batch | Azure Functions | Azure DevOps
Azure Data Engineer |12 Month FTC | Azure Data factory | Azure Devops | Azure Batch employer: Opus Recruitment Solutions Ltd
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer |12 Month FTC | Azure Data factory | Azure Devops | Azure Batch
✨Tip Number 1
Familiarise yourself with the specific Azure services mentioned in the job description, such as Azure Data Factory and Azure DevOps. Having hands-on experience or projects that showcase your skills with these tools will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the fintech sector, especially those who work with Azure technologies. Engaging in relevant online communities or attending meetups can provide insights into the company culture and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with agile methodologies, as collaboration is key in this role. Think of examples where you've successfully worked in agile teams and how you contributed to sprint planning and user story ownership.
✨Tip Number 4
Showcase your communication skills by being able to explain complex technical concepts in simple terms. This is crucial for stakeholder engagement, so practice articulating your past projects and their impact clearly and concisely.
We think you need these skills to ace Azure Data Engineer |12 Month FTC | Azure Data factory | Azure Devops | Azure Batch
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Azure services, particularly Azure Data Factory, Azure DevOps, and any other technologies mentioned in the job description. Use specific examples to demonstrate your skills in building scalable data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for clean architecture and impactful automation. Mention how your previous experiences align with the role's requirements and how you can contribute to the Intelligent Automation Team.
Showcase Your Technical Skills: When detailing your experience, emphasise your proficiency in cloud data architecture and agile delivery. Include any relevant projects where you've collaborated with cross-functional teams and driven sprint planning from a data perspective.
Highlight Communication Skills: Since excellent stakeholder communication is crucial for this role, provide examples of how you've effectively communicated technical concepts to non-technical stakeholders in the past. This will demonstrate your ability to make complex ideas accessible.
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure Data Factory, Logic Apps, and Azure DevOps during the interview. Be prepared to discuss specific projects where you've built scalable data solutions and how you optimised data pipelines.
✨Demonstrate Agile Collaboration
Since the role involves working in an agile setup, be ready to share examples of how you've collaborated with product owners, developers, and analysts. Discuss your experience in driving sprint planning and owning user stories from a data perspective.
✨Communicate Technical Concepts Clearly
Excellent stakeholder communication is key for this position. Practice explaining complex technical concepts in simple terms, as you'll need to make them understandable for non-technical team members.
✨Prepare for Problem-Solving Scenarios
Expect to face problem-solving scenarios related to cloud data architecture during the interview. Brush up on your knowledge of Azure services and be ready to discuss how you would approach real-world challenges in financial services.
