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- Tasks: Lead the design and build of modern data platforms and analytics products.
- Company: Dynamic tech company focused on cloud-first solutions and AI integration.
- Benefits: Competitive salary, 25 days holiday, pension, and flexible working options.
- Why this job: Shape innovative data solutions and drive real business value with cutting-edge technology.
- Qualifications: Strong experience in SQL, Python, Spark, and cloud data platforms.
- Other info: Supportive culture with opportunities for mentorship and career growth.
The predicted salary is between 60000 - 66000 £ per year.
Warrington (3 days onsite, 2 days at home) £60K + 10% bonus
You will lead the design and build of modern data platforms and analytics products in a cloud-first environment. You will own platform direction, deliver scalable pipelines, and support advanced analytics and AI use cases. A key part of this role is hands-on work with Microsoft Fabric and AI. You will help shape how both are used together to deliver real business value.
What you will do:
- Own the data platform. Define standards, architecture, and best practice across storage, pipelines, and analytics.
- Design and deliver end to end data architecture. Focus on scalability, reuse, and performance.
- Move legacy and hybrid systems into a modern cloud data platform.
- Build and optimise automated data pipelines using SQL, Spark, and Python.
- Develop feature pipelines to support machine learning use cases.
- Set up CI/CD for data pipelines, models, and analytics assets.
- Monitor performance, control costs, and improve reliability of pipelines.
- Support enterprise reporting platforms. Improve data models, performance, and refresh cycles.
- Build governed semantic layers and reusable data products.
- Enable data science teams. Provide environments, tooling, and secure access to data.
- Support model deployment, monitoring, and integration into production systems.
- Integrate AI and machine learning services into data products, with a strong focus on Fabric-native capabilities.
- Embed data quality, lineage, and documentation across all assets.
- Ensure compliance with data governance standards and regulatory requirements.
- Work with stakeholders to translate business needs into technical solutions.
- Lead and mentor data engineers. Raise capability across the team.
What you bring:
- Strong experience building modern data platforms in a cloud environment.
- Advanced skills in SQL, Python, and Spark.
- Experience with data modelling, ETL and ELT design, and pipeline orchestration.
- Hands-on experience with CI/CD for data and analytics workflows.
- Exposure to AI and machine learning platforms and integration.
- Experience with real time or streaming data pipelines.
- Strong experience with enterprise BI tools and semantic modelling.
- Experience leading or mentoring engineers.
- Good understanding of cloud infrastructure, security, and access control.
- Strong communication skills. You explain complex topics in a clear way.
What you are like:
- You think in systems and solve problems with an engineering mindset.
- You take ownership and manage priorities well.
- You work well with both technical and business teams.
- You focus on continuous improvement.
- You deliver work to a high standard and on time.
What you get:
- Competitive salary and benefits.
- Pension and life assurance.
- 25 days holiday plus bank holidays, with flexibility options.
- Opportunity to shape a modern data platform and drive adoption of Fabric and AI.
- Supportive and performance focused culture.
Data and ML Engineer employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and ML Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Spark. This will give you an edge and demonstrate your hands-on experience with data platforms and analytics.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex topics clearly, as communication is key in this role. Practice common interview questions related to data engineering and AI integration.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with cloud environments and modern data platforms, and let’s get the conversation started!
We think you need these skills to ace Data and ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with cloud data platforms, SQL, Python, and any relevant projects you've worked on. We want to see how you can bring value 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. Don’t forget to mention your hands-on experience with Microsoft Fabric and AI – we love that stuff!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for candidates who think in systems and can demonstrate an engineering mindset. Share specific instances where you’ve improved processes or delivered high-quality results.
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Maxwell Bond
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL, Python, and Spark. Brush up on your experience with cloud environments and data modelling. Be ready to discuss specific projects where you've built data platforms or optimised pipelines, as this will show your hands-on expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you approach complex problems with an engineering mindset. Think of examples where you’ve successfully translated business needs into technical solutions, especially in a cloud-first environment. This will demonstrate your ability to think critically and deliver results.
✨Emphasise Collaboration and Communication
Since the role involves working with both technical and business teams, highlight your strong communication skills. Share instances where you’ve led or mentored others, and how you’ve facilitated discussions to ensure everyone is on the same page regarding project goals.
✨Be Ready for AI and ML Discussions
Given the focus on integrating AI and machine learning services, brush up on your knowledge of these technologies, particularly in relation to Microsoft Fabric. Prepare to discuss how you’ve embedded data quality and compliance in your previous work, as this will be crucial for the role.