At a Glance
- Tasks: Design and scale ETL pipelines while working with complex data and knowledge graphs.
- Company: Humand Talent, a forward-thinking company in Oxford.
- Benefits: Hybrid work flexibility, collaborative team environment, and opportunities for professional growth.
- Other info: Join a dynamic team and enhance your career in data engineering.
- Why this job: Tackle meaningful technical challenges and make a real impact on data processes.
- Qualifications: Strong experience with Python and a problem-solving mindset.
The predicted salary is between 60000 - 80000 € per year.
Humand Talent is seeking a Senior Data Engineer in Oxford to own a business-critical data pipeline. You will design and scale ETL pipelines, work with complex data and knowledge graphs, and improve data processes. The ideal candidate has strong experience with Python and a problem-solving mindset. This role offers hybrid flexibility, collaborations with a team, and a chance to tackle meaningful technical challenges.
Senior Data Engineer - Scalable Pipelines & Graphs (Hybrid) employer: Humand Talent
Humand Talent is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Oxford. With hybrid working options, employees enjoy a balanced lifestyle while tackling meaningful technical challenges that promote professional growth and development. The company prioritises employee well-being and provides opportunities to work with cutting-edge technologies, making it an attractive place for those looking to make a significant impact in their field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Scalable Pipelines & Graphs (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Humand Talent on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your experience with ETL pipelines and data graphs. This hands-on evidence can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineering roles. We can even do mock interviews together to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who want to tackle meaningful challenges.
We think you need these skills to ace Senior Data Engineer - Scalable Pipelines & Graphs (Hybrid)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and any relevant data engineering projects. We want to see how you've tackled complex data challenges in the past!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior Data Engineer role. We love seeing how you align with our needs.
Be Clear and Concise:When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you're the perfect fit for this role without fluff.
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 don’t miss out on any important updates!
How to prepare for a job interview at Humand Talent
✨Know Your Data Inside Out
Make sure you’re well-versed in the data pipeline concepts and ETL processes. Brush up on your Python skills, as you'll likely be asked to demonstrate your coding abilities or solve problems on the spot.
✨Showcase Your Problem-Solving Skills
Prepare examples of past challenges you've faced in data engineering. Be ready to discuss how you approached these issues and the solutions you implemented, especially those involving complex data and knowledge graphs.
✨Understand the Company’s Needs
Research Humand Talent and their projects. Knowing their business-critical data needs will help you tailor your responses and show that you’re genuinely interested in contributing to their goals.
✨Emphasise Collaboration
Since this role involves teamwork, be prepared to discuss your experience working in collaborative environments. Highlight how you’ve successfully partnered with others to tackle technical challenges and improve data processes.
