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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, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact on business-critical data systems and drive platform transformation.
- Qualifications: Strong experience with Azure Data Factory, SQL, and Python; hands-on leadership skills.
- Other info: Be part of a small, agile team with high ownership and exciting challenges.
The predicted salary is between 75000 - 90000 £ per year.
We are 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 will 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:
- Azure Data Factory pipelines
- A large Power BI estate
- A legacy warehouse (partially outsourced)
There is a clear roadmap toward modernisation and migration (Fabric), and you will 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
Why join?
- 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 will build, fix, and improve - not just maintain
If you are a hands-on Lead Data Engineer who enjoys building scalable platforms and taking ownership of delivery, apply now with a CV to Dominic Brown.
Locations
Data Engineering Lead in York, Yorkshire employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead in York, Yorkshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at companies you're interested in. A personal referral can make all the difference!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role focuses on Azure Data Factory and SQL, practice common interview questions and scenarios related to these technologies. We want you to shine!
✨Tip Number 3
Showcase your projects! If you've built or improved data pipelines before, be ready to discuss them in detail. We love hearing about real-world applications of your skills, so bring examples that highlight your hands-on experience.
✨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 serious about joining our team and contributing to our exciting projects.
We think you need these skills to ace Data Engineering Lead in York, Yorkshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory and the Microsoft data stack. We want to see your solid SQL and Python skills shine through, so don’t hold back on showcasing relevant projects!
Showcase Your Hands-On Experience: Since this role is all about being hands-on, share specific examples of how you've built and maintained data pipelines. We love seeing real-world applications of your skills, so tell us about your successes!
Highlight Team Collaboration: We’re a small team that values collaboration, so mention any experiences where you’ve worked closely with BI or business teams. Show us how you’ve contributed to delivering data solutions in a team setting!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
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 Leadership Skills
As a Data Engineering Lead, you'll need to demonstrate your ability to lead a small team effectively. Prepare examples of how you've taken ownership in previous roles, especially in delivery-focused environments.
✨Understand the Bigger Picture
Familiarise yourself with the company's roadmap towards modernisation and migration, particularly regarding Fabric. Be prepared to discuss how you can contribute to this transformation and improve platform stability and performance.
✨Engage with the Team Dynamics
Since this role involves working closely with BI and business teams, think about how you can foster collaboration. Prepare to share experiences where you've successfully worked in small teams and delivered impactful data solutions.