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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: Up to £60K salary, 10% bonus, flexible working, and 25 days holiday.
- Other info: Mentorship opportunities and a supportive, performance-driven culture.
- Why this job: Shape the future of data platforms and drive innovation with cutting-edge technology.
- Qualifications: Strong experience in SQL, Python, Spark, and cloud data platforms.
The predicted salary is between 60000 - 60000 £ per year.
Warrington/Home (3 days office, 2 days home) Up to £60K DOE + 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 - you don't need to have prior hands-on experience with Fabric.
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.
Senior Data Engineer employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to connections in the data engineering field, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Spark. This will give potential employers a taste of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud environments and data pipelines, and don’t forget to highlight your ability to communicate complex topics clearly.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to reflect how your experience aligns with our needs, especially around modern data platforms and AI integration.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with cloud environments, SQL, Python, and any relevant projects you've worked on that showcase your ability to build modern data platforms.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Mention specific experiences that relate to the job description, especially around AI integration and pipeline optimisation.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who think in systems and can demonstrate their engineering mindset through real-world scenarios.
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!
How to prepare for a job interview at Maxwell Bond
✨Know Your Data Platforms
Make sure you brush up on your knowledge of modern data platforms, especially in a cloud environment. Familiarise yourself with Microsoft Fabric and how it integrates with AI, even if you don't have hands-on experience. Being able to discuss its potential applications will show your enthusiasm and readiness to learn.
✨Showcase Your Technical Skills
Prepare to demonstrate your advanced skills in SQL, Python, and Spark during the interview. Have examples ready that highlight your experience with building scalable data pipelines and your understanding of ETL/ELT processes. This is your chance to shine, so don’t hold back!
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to work with both technical and business teams. Think about how you can convey your ideas clearly and concisely during the interview.
✨Emphasise Leadership and Mentoring
Since the role involves leading and mentoring other data engineers, be prepared to discuss your leadership style and any previous mentoring experiences. Share specific examples of how you've helped others grow in their roles, as this will demonstrate your capability to raise the team's performance.