At a Glance
- Tasks: Lead the development of a modern data platform using Microsoft Fabric and mentor fellow engineers.
- Company: Join a well-established business investing in cutting-edge data and AI capabilities.
- Benefits: Enjoy a competitive salary, bonus, hybrid work, and generous leave policies.
- Other info: Dynamic environment with opportunities for career growth and professional development.
- Why this job: Shape the future of data engineering while making a real impact on innovative projects.
- Qualifications: Strong experience with Microsoft Fabric, SQL, Python, and mentoring skills required.
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.
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
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.
Previous experience mentoring data engineers.
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.
Please note this role cannot offer sponsorship and isn't suitable for those on graduate or short term visas.
Senior Data & Machine Learning Engineer in Cheshire employer: Forward Role
At Forward Role, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our Cloud & DevOps Engineers. With competitive salaries and opportunities for professional growth in the thriving tech hubs of London and beyond, we empower our employees to tackle complex engineering challenges in National Security environments while working with cutting-edge technologies like AWS and Kubernetes. Join us to be part of a forward-thinking team that values your expertise and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Machine Learning Engineer in Cheshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space, especially those who work with Microsoft Fabric. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Azure tools. This will give potential employers a taste of what you can do and how you tackle complex problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with building scalable data platforms and mentoring others, as these are key aspects of the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re constantly updating our listings, so keep an eye out for the latest opportunities that match your skills and interests. Your dream job could be just a click away!
We think you need these skills to ace Senior Data & Machine Learning Engineer in Cheshire
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match 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 you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our needs. Be sure to mention specific projects or achievements that showcase your expertise in building scalable data platforms.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical skills. Mention your experience with SQL, Python, Azure DevOps, and any AI/ML platforms you've worked with. We love seeing candidates who can demonstrate their hands-on experience with modern tech!
Apply Through Our Website:We encourage you to apply directly 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 reaches the right people. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Forward Role
✨Know Your Microsoft Fabric Inside Out
Make sure you’re well-versed in Microsoft Fabric, especially Data Factory, Lakehouse, and Pipelines. Brush up on how these tools integrate with SQL Warehouse and be ready to discuss your hands-on experience with them during the interview.
✨Showcase Your Data Pipeline Expertise
Prepare to talk about your experience building and optimising end-to-end data pipelines. Have specific examples ready that demonstrate your ability to turn complex business requirements into effective technical solutions.
✨Highlight Your Mentoring Skills
Since this role involves mentoring other data engineers, think of instances where you’ve successfully guided others. Be ready to share your approach to coaching and how it has positively impacted your team or projects.
✨Demonstrate Your CI/CD Knowledge
Familiarise yourself with CI/CD practices for analytics and data platforms, particularly using Azure DevOps or GitHub. Be prepared to discuss how you’ve implemented these practices in past projects to enhance efficiency and reliability.
