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.
Senior Data Engineer ID48059 in Oxford employer: Humand Talent
Join a dynamic and innovative organisation in Oxford, where as a Senior Data Engineer, you will be at the forefront of shaping a cutting-edge data platform. With a strong emphasis on collaboration and employee growth, this company offers a stimulating work culture that encourages creativity and problem-solving, alongside flexible hybrid working arrangements. You'll have the unique opportunity to influence data strategy on a global scale while mentoring others in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer ID48059 in Oxford
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might just get your CV on the right desk.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and data platforms like Microsoft Fabric. We want you to shine when they ask about your past projects!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Think of real-world challenges you've tackled and how you turned them into data solutions. This is your chance to demonstrate your value!
✨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 ID48059 in Oxford
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 data platforms, Python/PySpark, and any relevant projects that showcase your problem-solving abilities.
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. Share specific examples of how you've tackled challenges in previous roles and what excites you about this opportunity.
Showcase Your Technical Skills:Don’t forget to mention your technical expertise! Include details about your experience with modern data platforms, API integrations, and any best practices you've implemented. This is your chance to shine!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.
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 your previous roles. Having specific examples of projects where you designed scalable data pipelines will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world challenges you've faced and how you turned them into data solutions. Think of a couple of scenarios where you collaborated with stakeholders to unlock insights from complex data sets. This will demonstrate your ability to work at the intersection of tech and business.
✨Emphasise Collaboration
Since this role involves working closely with senior stakeholders, be ready to discuss your experience in mentoring others and defining best practices. Highlight any instances where you’ve successfully collaborated with teams to achieve common goals, as this shows you’re a team player who can thrive in a hybrid working environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and how they envision the role of a Senior Data Engineer. This not only shows your interest in the position but also gives you a chance to assess if the company culture aligns with your values and career goals.
