Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data pipelines to unlock insights.
- Company: Fast-growing, globally recognised organisation in a data-rich industry.
- Benefits: Hybrid working, flexible hours, and a collaborative environment.
- Other info: Join a dynamic team and mentor others in a growing data environment.
- Why this job: Influence company-wide data strategy and drive real business decisions.
- Qualifications: Experience with modern data platforms, Python/PySpark, and SQL.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with a fast-growing, globally recognised organisation at the forefront of a complex, data-rich industry and they’re looking for a Senior Data Engineer to help shape the future of their internal data platform. This is a high-impact role where you’ll work closely with senior stakeholders, design scalable data solutions, and play a key part in building a modern, enterprise-wide data ecosystem.
What you’ll be doing:
- Designing and building robust, scalable data pipelines
- Working across multiple business systems to unlock meaningful insights
- Collaborating with stakeholders to turn real-world challenges into data solutions
- Helping define best practices and mentor others in a growing data team
What they’re looking for:
- Strong experience with modern data platforms (Microsoft Fabric a big plus)
- Solid skills in Python/PySpark and SQL
- Experience integrating data from APIs and SaaS platforms
- A problem-solver who enjoys working at the intersection of tech and business
Why this role stands out:
- Opportunity to influence a company-wide data strategy
- Work in a highly collaborative, intellectually stimulating environment
- Be part of a business operating on a truly global scale
- Hybrid working with flexibility built in
If you’re someone who enjoys building, shaping, and owning data solutions that genuinely drive business decisions, this could be a great next step. Apply now - opportunities like this don’t stay quiet for long!
Senior Data Engineer ID48059 employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer ID48059
✨Tip Number 1
Network like a pro! Reach out to connections in the data engineering field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python, SQL, or modern data platforms. 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 common data engineering challenges. Be ready to discuss how you've tackled real-world problems with data solutions. This will show that you’re not just a techie but also a problem-solver.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer ID48059
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with data platforms, Python, and SQL to catch our eye!
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 shaping our data strategy. Be genuine and let your personality shine through!
Showcase Your Problem-Solving Skills: In your application, share specific examples of how you've tackled real-world challenges with data solutions. We love seeing how you think and approach problems!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on this exciting opportunity!
How to prepare for a job interview at Humand Talent
✨Know Your Data Tools
Make sure you brush up on your knowledge of modern data platforms, especially Microsoft Fabric. Be ready to discuss how you've used Python, PySpark, and SQL in past projects. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world challenges using data solutions. Think about specific scenarios where you collaborated with stakeholders to turn complex problems into actionable insights. This will demonstrate your ability to bridge the gap between tech and business.
✨Emphasise Collaboration
Since this role involves working closely with senior stakeholders, be ready to talk about your experience in collaborative environments. Highlight instances where you’ve mentored others or contributed to a team’s success, as this shows you’re a team player who values shared goals.
✨Understand the Company’s Data Strategy
Research the company’s current data initiatives and be prepared to discuss how you can contribute to their data strategy. Showing that you understand their vision and how you can help shape it will set you apart from other candidates.