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For Companies At a Glance
- Tasks: Lead the development of a modern data platform using Microsoft Fabric and mentor fellow engineers.
- Company: Established business investing in data and AI capabilities with a collaborative culture.
- Benefits: Up to £65K salary, hybrid working, bonus, enhanced sick pay, and health benefits.
- Other info: Exciting opportunity for career growth and technical leadership in a supportive team.
- Why this job: Shape innovative data solutions and work with cutting-edge technologies in a dynamic environment.
- Qualifications: Strong experience with Microsoft Fabric, SQL, Python, and mentoring skills.
The predicted salary is between 65000 - 65000 £ per year.
We're working with a well-established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping their modern data platform. This is a senior, hands-on role where you'll take ownership of a Fabric-centric data estate, lead technical decisions, and work closely with BI teams, data scientists and senior stakeholders. They're looking for someone who enjoys building scalable data platforms, mentoring others, and turning complex business requirements into robust technical solutions.
What's in it for you?
- Hybrid working from their Warrington office
- Salary up to £65K
- 10% bonus
- 20 days annual leave BH – increases with service
- Pension
- Enhanced sick pay
- Buy and sell holidays
- Life assurance
- Health & wellbeing benefits
- Employee Assistance Programme
- Cycle to Work
- Long service awards
- Work with modern tech including Microsoft Fabric, Azure AI and ML tooling
Key skills
- Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse)
- Solid data engineering background using SQL, Python, PySpark, Delta Lake
- Experience building and optimising end-to-end data pipelines
- CI/CD experience for analytics and data platforms (Azure DevOps or GitHub)
- Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI
- Strong knowledge of Power BI and/or Qlik at enterprise scale
- Confident communicator, comfortable working with senior stakeholders
- Previous experience mentoring data engineers
Day to day
- Owning and developing the organisation's Microsoft Fabric data platform
- Designing and building scalable, reliable data pipelines and architectures
- Leading the move from legacy and hybrid platforms to a modern Fabric setup
- Supporting BI teams with semantic models, datasets and performance optimisation
- Enabling ML and MLOps workflows, from feature engineering to deployment
- Working closely with data scientists, analysts, IT and the wider business
- Embedding data quality, governance and best-practice standards
- Providing technical leadership and coaching to other engineers
If this sounds like your next move, apply now or email.
Senior Data & Machine Learning Engineer in England employer: Forward Role
Contact Detail:
Forward Role Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space, especially those who might know about opportunities at companies using Microsoft Fabric. A friendly chat can sometimes lead to a referral, which is often the golden ticket to landing an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data engineering and machine learning. Use platforms like GitHub to share your code and demonstrate your expertise with tools like SQL, Python, and Azure. This gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of Microsoft Fabric and be ready to discuss how you've built scalable data pipelines. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re constantly updating our listings, so keep an eye out for roles that match your skills. Applying directly can sometimes give you an edge, as we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data & Machine Learning Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data & Machine Learning Engineer role. Highlight your experience with Microsoft Fabric, data pipelines, and any mentoring you've done. We want to see how your skills match what we're looking for!
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 you can contribute to our team. Be sure to mention your experience with Azure AI and ML tooling, as it's super relevant to the role.
Showcase Your Projects: If you've worked on any cool projects involving data platforms or machine learning, make sure to mention them! We love seeing real-world examples of your work, especially if they relate to building scalable solutions or optimising data pipelines.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people. Don’t miss out on this opportunity!
How to prepare for a job interview at Forward Role
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric and the specific tools mentioned in the job description. Brush up on your SQL, Python, and PySpark skills, and be ready to discuss how you've used these technologies to build scalable data platforms.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading technical decisions, prepare examples of how you've successfully guided teams or projects in the past. Highlight your experience in supporting BI teams and collaborating with senior stakeholders.
✨Prepare for Technical Questions
Expect to dive deep into your technical expertise during the interview. Be ready to explain your approach to building and optimising end-to-end data pipelines, and discuss any CI/CD practices you've implemented in previous roles.
✨Communicate Clearly and Confidently
As a confident communicator, practice articulating complex concepts in a straightforward manner. This will help you connect with the interviewers and demonstrate your ability to work effectively with various teams across the organisation.