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- Tasks: Lead the development of a cutting-edge Azure data platform and optimise data pipelines.
- Company: Join a dynamic team focused on impactful data solutions.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Be part of a small, agile team with high ownership and exciting transformation projects.
- Why this job: Make a real impact on business-critical data systems while shaping the future of data engineering.
- Qualifications: Strong skills in Azure Data Factory, SQL, Python, and data pipeline management.
The predicted salary is between 60000 - 80000 £ per year.
We’re hiring a Data Engineering Lead to take ownership of a growing Azure-based data platform, working as part of a small, high-impact team. This is a hands-on technical leadership role focused on building, improving, and stabilising data pipelines and architecture - while also supporting a broader BI environment.
What do we need from you?
- Strong experience with Azure Data Factory and the Microsoft data stack
- Solid SQL and Python skills
- Experience building and maintaining data pipelines and integrations
- Ability to work in a hands-on, delivery-focused role
- Comfortable operating in a small team with high ownership
- Understanding of modern data platforms (Fabric exposure desirable)
Role overview
You’ll take ownership of the data engineering layer, responsible for ingesting and transforming data from multiple sources into a large-scale reporting environment. The platform currently combines a legacy warehouse (partially outsourced). There is a clear roadmap toward modernisation and migration (Fabric), and you’ll play a key role in shaping that journey.
Key focus areas
- Build and maintain robust data pipelines
- Manage data ingestion from multiple sources
- Support and optimise data flows feeding Power BI
- Work closely with BI and business teams to deliver data solutions
- Improve platform stability, performance, and scalability
- Contribute to future platform modernisation and migration
- Help reduce reliance on legacy and outsourced components
- High ownership in a small, agile team
- Opportunity to work across engineering and platform design
- Involvement in a major platform transformation (Fabric)
- Real impact on business-critical data systems
- A role where you’ll build, fix, and improve - not just maintain
Data Manager employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with Azure and data platforms. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is your chance to demonstrate your hands-on experience with data pipelines and integrations.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of modern data platforms, especially Fabric. Be ready to discuss how you can contribute to the team’s goals and improve platform stability.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Manager role. Highlight your experience with Azure Data Factory, SQL, and Python. We want to see how your skills align with our needs!
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 team. Let us know why you're excited about the opportunity to work on our Azure-based platform.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include examples of data pipelines you've built or optimised. We love seeing real-world applications of your skills that demonstrate your hands-on experience.
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 shows you’re keen to join our team!
How to prepare for a job interview at Corecom Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Data Factory and the Microsoft data stack. Be ready to discuss your hands-on experience with SQL and Python, as well as any specific projects where you've built or maintained data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data ingestion and transformation. Highlight your ability to improve data flows and platform stability, as this will demonstrate your hands-on, delivery-focused approach.
✨Understand the Bigger Picture
Familiarise yourself with the concept of modern data platforms, especially Fabric. Be prepared to discuss how you can contribute to the migration and modernisation roadmap, showing that you’re not just about maintaining but also innovating.
✨Emphasise Team Collaboration
Since this role involves working closely with BI and business teams, be ready to talk about your experience in small teams. Share how you’ve taken ownership in past roles and how you can bring that collaborative spirit to their agile environment.