At a Glance
- Tasks: Design and scale ETL pipelines while working with complex data and knowledge graphs.
- Company: Humand Talent, a forward-thinking company based in Oxford.
- Benefits: Hybrid work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects.
- 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) in Oxford 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 a strong emphasis on employee growth, you will have access to continuous learning opportunities while tackling meaningful technical challenges in a hybrid work environment. Join us to be part of a team that values your expertise and encourages you to make a significant impact through scalable data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Scalable Pipelines & Graphs (Hybrid) in Oxford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Humand Talent on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with ETL pipelines and data processing. When you get the chance to chat with recruiters, share your work to demonstrate your problem-solving mindset.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and data engineering concepts. Use mock interviews or coding challenges to sharpen your skills and build confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, it helps us keep track of your application better!
We think you need these skills to ace Senior Data Engineer - Scalable Pipelines & Graphs (Hybrid) in Oxford
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 brush up on your knowledge of data pipelines and ETL processes. Be ready to discuss your previous experiences with Python and how you've tackled complex data challenges. This will show that you're not just familiar with the concepts, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've solved technical problems in the past. Think about times when you had to optimise a pipeline or improve a data process. This will demonstrate your analytical mindset and ability to handle the challenges that come with the role.
✨Familiarise Yourself with Knowledge Graphs
Since the role involves working with knowledge graphs, it’s crucial to understand their structure and use cases. Brush up on any relevant projects you've worked on and be ready to discuss how you can leverage knowledge graphs to enhance data processes.
✨Emphasise Team Collaboration
This position offers hybrid flexibility and collaboration with a team, so be prepared to talk about your experience working in teams. Highlight how you communicate and collaborate with others to achieve common goals, as this will be key in a role that requires teamwork.
