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- Tasks: Lead the development of a cutting-edge data platform using Microsoft Fabric.
- Company: Established business investing in data and AI capabilities.
- Benefits: Up to £65K salary, hybrid work, 20 days leave plus BH, and health benefits.
- Other info: Dynamic role with opportunities for career growth and technical leadership.
- Why this job: Shape modern data solutions and mentor future data engineers.
- Qualifications: Strong experience with Microsoft Fabric, SQL, Python, and data engineering.
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.
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 London employer: Forwardrole
Contact Detail:
Forwardrole Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Machine Learning Engineer in London
✨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 gold in the job search game.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data pipelines, Azure ML, or any relevant tech. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around Microsoft Fabric and be ready to discuss how you've tackled complex data challenges in the past. Practice common interview questions and have your success stories ready to share.
✨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, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Senior Data & Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our modern data platform. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: When filling out your application, make sure to mention your experience with SQL, Python, and any CI/CD tools you've used. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Forwardrole
✨Know Your Microsoft Fabric Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, especially Data Factory, Lakehouse, and Pipelines. Be ready to discuss how you've used these tools in past projects and how they can be leveraged to build scalable data platforms.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with SQL, Python, and PySpark. Have specific examples ready that demonstrate your ability to build and optimise end-to-end data pipelines. This will show that you can handle the technical demands of the role.
✨Communicate Like a Pro
Since this role involves working closely with senior stakeholders, practice articulating complex technical concepts in a clear and concise manner. Think about how you can explain your previous projects and decisions in a way that resonates with non-technical audiences.
✨Mentorship Matters
If you've had experience mentoring other engineers, be prepared to share those stories. Discuss your approach to coaching and how you've helped others grow in their roles. This will highlight your leadership skills and fit for a senior position.