At a Glance
- Tasks: Design and scale innovative data pipelines while collaborating with a dynamic team.
- Company: Join a forward-thinking company revolutionising data and knowledge systems.
- Benefits: Enjoy hybrid flexibility, competitive benefits, and a supportive work culture.
- Other info: Be part of a stable business with excellent growth opportunities.
- Why this job: Take ownership of impactful projects and tackle exciting technical challenges.
- Qualifications: Strong experience in building scalable data pipelines and a collaborative mindset.
The predicted salary is between 60000 - 80000 € per year.
Are you ready to apply? Make sure you understand all the responsibilities and tasks associated with this role before proceeding. Looking for a Senior Data Engineering role that’s genuinely different? Our client is building cutting-edge data and knowledge systems that help organisations navigate complexity, make smarter decisions, and create meaningful change. They’re now looking for a Senior Data Engineer to take ownership of a business-critical data pipeline at the heart of their delivery platform.
What You’ll Be Doing
- Designing and scaling end-to-end ETL/ELT pipelines
- Working with complex structured data and knowledge graph technologies
- Improving data quality, validation, and automation processes
- Collaborating closely with consultants, developers, and project teams
- Helping shape the future of the company’s data capability
Tech You’ll Work With
- Python
- Airflow
- Git & GitHub
- RDF / SPARQL / Semantic Web technologies
- Cloud and modern data tooling
What They’re Looking For
- Strong experience building scalable data pipelines
- Python and workflow orchestration experience
- Someone curious, collaborative, and technically driven
- A problem-solver who enjoys ownership and improving systems
Experience with knowledge graphs or semantic web technologies is a bonus - but mindset, curiosity, and strong engineering fundamentals matter most.
Why This Role Stands Out
- Own a central part of the company’s data platform
- Work on genuinely interesting, meaningful technical challenges
- Hybrid flexibility with a collaborative Oxford-based team
- Stable, established business with exciting long-term growth
- Great benefits, modern tooling, and real autonomy
If you’re excited by the idea of building scalable data systems in an environment where innovation and quality genuinely matter, we’d love to hear from you. Apply now - this is not your standard Senior Data Engineer role.
Senior Data Engineer ID47956 in Oxford employer: Humand Talent
Join a forward-thinking company in Oxford that prioritises innovation and collaboration, offering a hybrid work environment where you can take ownership of critical data pipelines. With a focus on employee growth, modern tooling, and a culture that values curiosity and problem-solving, this role provides the opportunity to work on meaningful projects that drive real change. Enjoy great benefits and the chance to shape the future of data capabilities in a stable and established business.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer ID47956 in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving data pipelines or knowledge graphs. This gives you a chance to demonstrate your technical prowess beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on relevant technologies like Python and Airflow. Be ready to discuss your past experiences and how they relate to the role. We want to see your problem-solving mindset in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Senior Data Engineer ID47956 in Oxford
Some tips for your application 🫡
Understand the Role:Before you dive into your application, make sure you really get what this Senior Data Engineer role is all about. Familiarise yourself with the responsibilities and tasks mentioned in the job description so you can tailor your application to show how you fit the bill.
Showcase Your Skills:When writing your application, highlight your experience with building scalable data pipelines and any relevant tech like Python or Airflow. We want to see how your skills align with what we’re looking for, so don’t hold back on showcasing your technical prowess!
Be Yourself:We’re after someone who’s curious and collaborative, so let your personality shine through in your application. Share examples of how you’ve tackled challenges and improved systems in the past – we love a good problem-solver!
Apply Through Our Website:Once you’ve polished up your application, make sure to apply through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Humand Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Airflow, and RDF. Brush up on your knowledge of ETL/ELT processes and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in data engineering and how you tackled them. This role values a problem-solver mindset, so be ready to demonstrate your analytical thinking and ownership of complex data systems.
✨Emphasise Collaboration
Since this position involves working closely with consultants and project teams, highlight your experience in collaborative environments. Share stories that showcase your ability to work well with others and contribute to team success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data capabilities and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of building innovative data systems.
