At a Glance
- Tasks: Lead the design and evolution of an Azure data platform while mentoring a team.
- Company: Fast-growing Manchester-based business investing in its data platform.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with real influence on business growth and data strategy.
- Why this job: Take ownership of a modern data platform and shape the future of data in the organisation.
- Qualifications: Strong Azure experience, SQL knowledge, and leadership skills.
The predicted salary is between 65000 - 85000 £ per year.
We’re recruiting a Lead Data Engineer for a fast-growing Manchester-based business that’s investing heavily in its data platform as part of its growth strategy. This is a pivotal role within the organisation. You’ll take ownership of the Azure data platform, lead a small team of data engineers, and deliver the data systems that support risk, operations, MI and commercial decision-making across the business. You’ll be working with modern Azure tooling in an environment that values clean architecture, automation and scalable data platforms.
The Role
- Data Architecture & Platform
- Own the design and evolution of the Azure data platform
- Define standards for data modelling, integration and storage
- Ensure data quality, security, lineage and governance are built in
- Technical Delivery
- Design and build ETL/ELT pipelines, data lakes and data warehouses
- Work with Azure Fabric, Synapse, Data Factory, Databricks, SQL Server and Power BI
- Optimise performance, reliability and cost
- Team Leadership
- Lead and mentor a team of data engineers and testers
- Set coding standards, review architecture and drive best practice
- Run sprint ceremonies and oversee delivery
You’ll work closely with senior stakeholders across technology, risk, operations and reporting teams to translate business needs into scalable data solutions.
What We’re Looking For
- Strong experience building and running Azure-based data platforms
- Excellent SQL Server & T-SQL knowledge
- Experience with data warehousing, data lakes and data modelling
- Hands-on experience with ETL/ELT pipelines and complex integrations
- Experience leading or mentoring data engineers
- Comfortable working with technical and non-technical stakeholders
Why This Role?
This is a chance to take ownership of a modern data platform in a business that genuinely values data and is committed to building scalable, future-proof systems. The role offers real influence, visibility and the opportunity to shape how data supports the organisation’s growth.
Data Engineer in Manchester employer: Fairmont Recruitment Technology
At Fairmont Recruitment Technology, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Senior .NET Engineer, you will have the opportunity to work on cutting-edge cloud technologies while enjoying a hybrid work model that promotes work-life balance. We are committed to your professional growth, offering continuous learning opportunities and a supportive environment where your contributions are valued.
Contact Details:
Fairmont Recruitment Technology Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL/ELT pipelines and Azure tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL Server and T-SQL knowledge. Be ready to discuss your experience with data architecture and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your Azure expertise, data architecture experience, and any leadership roles you've had. We want to see how you can take ownership of our data platform!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention your experience with ETL/ELT pipelines and team leadership – we love a good story!
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. Whether it's building data lakes or optimising performance, we want to see what you've done. This gives us a glimpse into your hands-on experience and problem-solving skills.
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 us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Fairmont Recruitment Technology
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with the specific tools mentioned in the job description, like Azure Fabric, Synapse, and Data Factory. Being able to discuss your hands-on experience with these technologies will show that you're ready to take ownership of the data platform.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully mentored or led others in the past. Think about specific situations where you set coding standards or drove best practices. This will demonstrate your capability to lead and inspire a team of data engineers.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on SQL Server, T-SQL, and your experience with ETL/ELT pipelines. Be ready to explain your approach to data modelling and integration, as well as how you ensure data quality and governance.
✨Understand the Business Impact
This role is pivotal for the organisation, so it's crucial to understand how data supports business decisions. Be prepared to discuss how you've translated business needs into scalable data solutions in the past. Showing that you can connect technical work to business outcomes will set you apart from other candidates.
