At a Glance
- Tasks: Lead the development of a cutting-edge data platform using Microsoft Fabric and AI tools.
- Company: Join a well-established business investing in data and AI capabilities.
- Benefits: Enjoy a competitive salary, hybrid working, and generous leave policies.
- Other info: Great opportunity for career growth and technical leadership.
- Why this job: Shape the future of data engineering and make a real impact in a dynamic environment.
- 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.
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 Bedford employer: NLP PEOPLE
At Forward Role, we pride ourselves on being an excellent employer that champions innovation and professional growth. Our Warrington office offers a hybrid working model, competitive salary, and a comprehensive benefits package, including enhanced sick pay and health & wellbeing initiatives. Join us to work with cutting-edge technologies like Microsoft Fabric and Azure, while enjoying a supportive work culture that values collaboration and mentorship.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Machine Learning Engineer in Bedford
✨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 you're interested in. A personal referral can make all the difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric and data pipelines. 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 technical knowledge and soft skills. Be ready to discuss your experience with Azure AI and ML tooling, and don’t forget to highlight your mentoring experience – it’s a big plus!
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles, and applying directly can give you a better chance of getting noticed. Plus, 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 Bedford
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, SQL, and any relevant AI/ML projects. We want to see how your skills align with 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 modern data platform. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any cool projects involving data pipelines or AI/ML, make sure to mention them! We’re interested in real-world applications of your skills, so don’t hold back on sharing your achievements and the impact they had.
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 to join our team at StudySmarter!
How to prepare for a job interview at NLP PEOPLE
✨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 pipelines.
✨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 optimise end-to-end data pipelines and your familiarity with CI/CD processes using Azure DevOps or GitHub.
✨Communicate Effectively with Stakeholders
Since this role involves working closely with senior stakeholders, practice articulating complex technical concepts in a way that's easy to understand. Think of scenarios where you've successfully communicated with non-technical teams and how you can bring that experience to the table.
✨Emphasise Your Mentoring Experience
Highlight any previous experience mentoring other data engineers. Be prepared to discuss your approach to coaching and how you've helped others grow in their roles, as this will show your leadership potential in the team.
