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, 20 days leave plus BH, and health benefits.
- Other info: Exciting opportunity for career growth in a tech-driven company.
- Why this job: Shape cutting-edge data solutions and make a real impact 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.
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: Forward Role
Join a forward-thinking company in Warrington that prioritises innovation and employee development, offering a hybrid working model and a competitive salary package. With a strong focus on modern technologies like Microsoft Fabric and Azure, you'll have the opportunity to lead impactful projects while enjoying benefits such as enhanced sick pay, life assurance, and a supportive work culture that values mentorship and collaboration.
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 using Microsoft Fabric. A friendly chat can sometimes lead to a referral, which is often the golden ticket to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data engineering and machine learning. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of Microsoft Fabric, SQL, and Python. Be ready to discuss your experience with building scalable data pipelines and optimising them, as well as any mentoring you've done. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for you, and applying directly can sometimes give you an edge. Plus, we’re always here to help you navigate the job search process.
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 Python, and don’t forget to mention any mentoring you've done. We want to see how you can bring your skills to our team!
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. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's building scalable data platforms or optimising data pipelines, we want to see concrete examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step to connect with us!
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 tools mentioned in the job description. Brush up on your SQL, Python, and PySpark skills, and be ready to discuss how you've built and optimised data pipelines in the past.
✨Showcase Your Leadership Skills
Since this role involves mentoring and providing technical leadership, prepare examples of how you've guided others in previous positions. Think about specific instances where your coaching made a difference in a project or team dynamic.
✨Communicate Clearly with Stakeholders
Practice explaining complex technical concepts in simple terms. You’ll need to work closely with senior stakeholders, so being able to articulate your ideas clearly will set you apart. Consider doing mock interviews to refine your communication style.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges related to data platforms or AI/ML workflows. Think through potential scenarios and how you would approach them, focusing on problem-solving and decision-making processes.
