Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain data pipelines using modern tools like Microsoft Fabric.
- Company: Join a growing international organisation that values data-driven solutions.
- Benefits: Hands-on role with opportunities for professional growth and collaboration.
- Other info: Inclusive workplace welcoming diverse backgrounds and perspectives.
- Why this job: Make a real impact by solving data problems and delivering high-quality solutions.
- Qualifications: Experience in data engineering, SQL, and proficiency in Python or PySpark.
The predicted salary is between 60000 - 75000 £ per year.
Love getting stuck into code and solving real-world data problems? Want to work with modern tools in an organisation that values data? Looking for a hands-on role where you can build, improve, and deliver high-quality data solutions?
The Opportunity:
We’re supporting a growing international organisation as they scale their internal data capabilities. They’re hiring a Senior Data Engineer to join a team focused on delivering high-quality, reliable data solutions that power reporting, analytics, and operational insight. This is a hands-on technical role – ideal for someone who enjoys building pipelines, modelling data, and solving problems in a collaborative environment. You’ll work directly with business users to understand what they need from data and then turn that into clean, scalable engineering work.
Why This Role is Great:
- Build and maintain robust data pipelines using Microsoft Fabric
- Bring together data from systems like CRM, ERP, HR and more
- Create clean, structured data models that feed dashboards and reporting tools
- Handle ingestion from databases, APIs, and SaaS platforms
- Ensure high data quality and troubleshoot transformation issues
- Work closely with stakeholders to translate business needs into engineering tasks
- Contribute to a culture of good practices and knowledge sharing with peers
This is a great role for someone who enjoys doing the work – writing clean code, building useful solutions, and collaborating to make things better.
About You:
You’ll be someone who enjoys the technical side of data engineering and wants to get your hands into the tools. The ideal candidate will bring:
- Strong experience as a Data Engineer in a modern cloud-based environment
- Proficiency with Microsoft Fabric, SQL, and either Python or PySpark
- Familiarity with working in notebooks and building robust, reusable code
- Experience working with large and complex datasets
- Understanding of data modelling and data quality processes
- A problem-solving mindset and a collaborative way of working
- The ability to turn real-world business needs into working data pipelines and models
Nice-to-Haves:
- Experience working with CRM, ERP, or HR platforms such as Salesforce, Dynamics, SAP, or similar
- Knowledge of Power BI, Power Query, DAX, or Logic Apps
- Familiarity with CI/CD pipelines or DevOps tooling
- Interest in Direct Lake architecture or broader Microsoft ecosystem tools
Please Note: While we welcome early applications for this position, the interview process may face delays. Our client is currently finalising a key hire who will be involved in the selection for this role. We appreciate your patience and will keep all applicants updated on timelines as they develop.
We Welcome Everyone: Our client is committed to building an inclusive team and workplace. We encourage applications from all backgrounds, especially if you’re excited by the role and bring relevant skills – even if your experience doesn’t perfectly match every bullet.
Apply now through LinkedIn to register your interest and be first in line when interviews begin.
Senior Data Engineer - ID44669 in England employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - ID44669 in England
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your data engineering prowess, make sure to share it. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview by brushing up on relevant tools like Microsoft Fabric and SQL. Practise coding challenges and be ready to discuss how you've solved data problems in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer - ID44669 in England
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects where you've tackled real-world data problems and how you enjoyed the process. This will help us understand your motivation and fit for the role.
Tailor Your Experience: Make sure to highlight your experience with Microsoft Fabric, SQL, and Python or PySpark. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects or achievements that demonstrate your expertise.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your technical skills and experiences. We appreciate a well-structured application that makes it easy for us to see how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at Humand Talent
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft Fabric, SQL, and either Python or PySpark. Brush up on your coding skills and be ready to discuss how you've used these tools in real-world scenarios. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Understand the Business Needs
Before the interview, think about how data engineering supports business objectives. Be prepared to discuss how you’ve translated business requirements into technical solutions in the past. This shows you can bridge the gap between technical work and business needs.
✨Showcase Problem-Solving Skills
Prepare examples of how you’ve tackled complex data problems. Whether it’s troubleshooting transformation issues or building robust data pipelines, having specific instances ready will demonstrate your problem-solving mindset and hands-on experience.
✨Emphasise Collaboration
This role values teamwork, so be ready to talk about your experiences working in collaborative environments. Share how you’ve contributed to knowledge sharing and good practices within your team, as this aligns with the company culture they’re looking for.