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- Tasks: Design and build automated data pipelines using Azure tools to support data transformation.
- Company: Join a prestigious cultural institution undergoing a major digital transformation.
- Benefits: Enjoy a salary up to £62,000, 29 days leave, and a generous pension scheme.
- Why this job: Make a real impact by shaping the data future of a globally respected organisation.
- Qualifications: Experience in data engineering, Azure services, SQL, and Python is essential.
- Other info: This role is hybrid, based in Central London, and open to UK residents only.
The predicted salary is between 46000 - 62000 £ per year.
Job Description
Location: Central London (Hybrid – 3 days in office)Salary: Up to £62,000 per annumContract Type: Fixed Term (18 months)
Are you a skilled Data Engineer looking to make a real impact in a world-renowned cultural institution? We're working with a prestigious organisation undergoing a major digital and data transformation – and they're looking for a hands-on Data Engineer to help build the foundations of their future data estate.
This is a unique opportunity to join a high-impact transformation programme at a pivotal moment. You'll play a key role in designing and building robust, scalable data pipelines that bring together data from across the organisation – including CRM, HR, Finance, and Commercial systems – into clean, trusted, and AI-ready datasets.
You'll be part of a growing data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation.
What You'll Be Doing:
- Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks.
- Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform.
- Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases.
- Implement data validation, lineage tracking, and metadata tagging for observability and trust.
- Collaborate with stakeholders to standardise KPIs and support cross-functional reporting.
- Ensure secure handling of sensitive data in line with GDPR and internal policies.
What We're Looking For:
- Solid experience in data engineering or backend data development.
- Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt.
- Proficiency in SQL and Python, with a solid understanding of data modelling and transformation.
- Experience integrating data from enterprise systems (CRM, ERP, HRIS).
- Familiarity with DevOps practices (CI/CD, version control, monitoring) in a data context.
What's On Offer:
- A salary of up to £62,000 depending on experience
- 29 days annual leave plus bank holidays
- A generous pension scheme
This is more than just a technical role – it's a chance to help shape the data future of a globally respected institution. If you're passionate about building high-quality data pipelines and enabling insight through clean, trusted data, we'd love to hear from you.
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at
Azure Data Engineer - 18 month FTC employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer - 18 month FTC
✨Tip Number 1
Familiarise yourself with Azure data services, especially Data Factory, Synapse, and Databricks. Consider building a small project or contributing to open-source projects that utilise these tools to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who work with Azure technologies. Attend meetups or webinars related to Azure and data engineering to make connections and learn about industry trends.
✨Tip Number 3
Prepare to discuss your experience with data integration from enterprise systems. Be ready to share specific examples of how you've successfully unified data from different sources in previous roles.
✨Tip Number 4
Understand the importance of data governance and compliance, especially regarding GDPR. Be prepared to discuss how you have implemented data validation and lineage tracking in your past projects.
We think you need these skills to ace Azure Data Engineer - 18 month FTC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure data services, SQL, and Python. Emphasise any relevant projects where you've designed and built data pipelines or integrated data from enterprise systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the role. Mention specific tools like Azure Data Factory and Databricks, and provide examples of how you've used them in past projects.
Showcase Relevant Experience: When detailing your work history, focus on your solid experience in data engineering and backend development. Highlight any familiarity with DevOps practices and your ability to handle sensitive data in compliance with GDPR.
Prepare for Technical Questions: Anticipate technical questions related to data modelling, transformation, and the tools mentioned in the job description. Be ready to discuss your approach to building scalable data pipelines and integrating various data sources.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure data services like Data Factory, Synapse, and Databricks. Be prepared to discuss specific projects where you've successfully implemented these tools, as this will demonstrate your hands-on skills.
✨Demonstrate Data Integration Skills
Since the role involves integrating data from various enterprise systems, be ready to talk about your experience with CRM, ERP, or HRIS systems. Share examples of how you've unified data from different sources into a cohesive platform.
✨Discuss Data Modelling and Transformation
Prepare to explain your approach to data cleansing, transformation, and modelling. Discuss any BI tools you've worked with, such as Power BI, and how your data pipelines have supported analytics and AI/ML use cases.
✨Emphasise Collaboration and Communication
This role requires working closely with various stakeholders. Highlight your experience in collaborating with teams to standardise KPIs and support cross-functional reporting. Good communication skills are key, so be ready to share how you've effectively engaged with non-technical stakeholders.
