At a Glance
- Tasks: Design and scale innovative data pipelines while collaborating with a dynamic team.
- Company: Join a forward-thinking company shaping the future of data and knowledge systems.
- Benefits: Enjoy hybrid flexibility, competitive benefits, and real autonomy in your role.
- Other info: Be part of a stable business with exciting long-term growth opportunities.
- Why this job: Tackle meaningful technical challenges and make a genuine impact on data capabilities.
- Qualifications: Strong experience in building scalable data pipelines and a curious, collaborative mindset.
The predicted salary is between 60000 - 80000 € per year.
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 employer: Humand Talent
Join a forward-thinking company in Oxford that prioritises innovation and quality, offering a unique opportunity for Senior Data Engineers to take ownership of critical data pipelines. With a collaborative hybrid work culture, excellent benefits, and a focus on employee growth, this is an ideal environment for those looking to make a meaningful impact in the world of data and knowledge systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer ID47956
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or knowledge graphs. This gives you a chance to demonstrate your problem-solving abilities and technical prowess beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on relevant technologies like Python, Airflow, and semantic web tools. Practice explaining your thought process when tackling complex data challenges, as this will highlight your collaborative and curious mindset.
✨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 genuinely excited about building scalable data systems and making a meaningful impact.
We think you need these skills to ace Senior Data Engineer ID47956
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with ETL/ELT pipelines, Python, and any knowledge graph technologies you've worked with.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how you can contribute to our mission. Share specific examples of past projects that showcase your problem-solving skills and technical expertise.
Showcase Your Curiosity:We love candidates who are curious and eager to learn! In your application, mention any recent projects or technologies you've explored that relate to data engineering or knowledge graphs. This shows us you're proactive and passionate.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
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, especially Python and workflow orchestration tools like Airflow. 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 that highlight your problem-solving abilities, particularly in building scalable data pipelines. Think about challenges you've faced and how you overcame them, as this will demonstrate your ownership mindset and technical drive.
✨Emphasise Collaboration
Since the role involves working closely with consultants, developers, and project teams, be ready to talk about your collaborative experiences. Share specific instances where teamwork led to successful outcomes, showcasing your ability to work well in a hybrid environment.
✨Curiosity is Key
Demonstrate your curiosity and eagerness to learn, especially regarding knowledge graphs and semantic web technologies. Ask insightful questions during the interview that reflect your interest in the company’s future data capabilities and how you can contribute to it.
