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- Tasks: Design and build scalable data solutions while collaborating with stakeholders.
- Company: Fast-growing, globally recognised organisation in a complex, data-rich industry.
- Benefits: Hybrid working, flexibility, and opportunities to influence company-wide data strategy.
- Other info: Mentorship opportunities in a growing data team.
- Why this job: Shape the future of data platforms and drive impactful business decisions.
- Qualifications: Strong experience with SQL, Python/PySpark, and modern data platforms.
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.
- Designing and building robust, scalable data pipelines
- Collaborating with stakeholders to turn real-world challenges into data solutions
- Helping define best practices and mentor others in a growing data team
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
Opportunity to influence a company-wide data strategy
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.
Senior Data Developer (SQL) employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Developer (SQL)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This is your chance to demonstrate your SQL and Python prowess, and it’ll make you stand out during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering challenges. Think about how you’d tackle real-world problems and be ready to discuss your thought process with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Developer (SQL)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Developer role. Highlight your experience with SQL, Python/PySpark, and any work with modern data platforms like Microsoft Fabric.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of how you've designed scalable data solutions or collaborated with stakeholders to solve real-world challenges.
Showcase Your Impact: In both your CV and cover letter, focus on the impact of your previous work. We want to see how your contributions have driven business decisions and shaped data strategies in your past roles.
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’re considered for this exciting opportunity in our growing data team.
How to prepare for a job interview at Humand Talent
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss your experience with data platforms, especially Microsoft Fabric. Be prepared to share specific examples of how you've designed and built scalable data pipelines in the past.
✨Showcase Your Collaboration Skills
Since this role involves working closely with senior stakeholders, think of instances where you've successfully collaborated with others to solve real-world challenges. Highlight your ability to communicate complex data solutions in a way that everyone can understand.
✨Prepare for Technical Questions
Expect some technical questions around Python/PySpark and SQL. Brush up on your coding skills and be ready to demonstrate your problem-solving abilities through practical examples or even live coding exercises.
✨Emphasise Mentorship and Best Practices
This role involves mentoring others, so think about how you've helped colleagues in the past. Be ready to discuss best practices you've defined and how you've contributed to building a strong data team culture.