At a Glance
- Tasks: Build scalable data pipelines and create smart data solutions for a global organisation.
- Company: Join a forward-thinking company shaping its data strategy.
- Benefits: Enjoy hybrid working, competitive salary, and growth opportunities.
- Other info: Collaborative environment with flexibility and ownership in your role.
- Why this job: Make a real impact on business decisions with your data expertise.
- Qualifications: Strong data engineering experience and skills in Python/PySpark and SQL.
The predicted salary is between 60000 - 80000 € per year.
Oxfordshire | Hybrid | Competitive Salary
Build Something That Matters
Want to shape a modern enterprise data platform instead of just maintaining one? Our client is growing their data capability and looking for a Senior Data Engineer to help drive the next phase of their data strategy. You'll work on scalable pipelines, cloud-based data solutions, and business-critical reporting that supports teams across a global organisation. This is a role with real ownership, visibility, and influence.
What You'll Be Doing
- Building scalable data pipelines and integrations
- Working with modern tools including Microsoft Fabric, Python/PySpark, and SQL
- Turning complex business challenges into smart data solutions
- Collaborating with stakeholders across the organisation
- Helping shape best practices within a growing data team
What They're Looking For
- Strong experience in data engineering and cloud data platforms
- Python/PySpark and SQL skills
- Experience integrating APIs and SaaS platforms
- Someone who enjoys solving problems and building things properly
Why This Role Stands Out
- Influence a company-wide data platform
- High-impact role with real ownership
- Hybrid working and flexibility built in
- Collaborative, forward-thinking environment
- Opportunity to grow with a scaling organisation
If you're looking for a role where your work genuinely drives business decisions, this could be the perfect next move. Apply now - opportunities like this don't stay available for long.
Senior Data Engineer ID48059 employer: LinkedIn
Join a forward-thinking organisation in Oxfordshire as a Senior Data Engineer, where you will have the opportunity to shape a modern enterprise data platform and influence company-wide decisions. With a collaborative work culture that values innovation and flexibility, you'll enjoy hybrid working arrangements and the chance to grow alongside a scaling team dedicated to solving complex business challenges. This role offers real ownership and visibility, making it an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer ID48059
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python, SQL, or cloud solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you've tackled complex problems in the past and how you can contribute to building scalable data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer ID48059
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 Python, SQL, and cloud platforms to show us you’re the right fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering. Share specific examples of how you've built scalable data solutions or tackled complex challenges in the past.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—demonstrate how you’ve used them to solve real-world problems. We love seeing candidates who can turn challenges into smart data solutions!
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 this exciting opportunity!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you brush up on your skills with Python, PySpark, and SQL. Be ready to discuss how you've used these tools in past projects, especially in building scalable data pipelines. The more specific examples you can provide, the better!
✨Understand the Business Context
Get familiar with the company’s data strategy and how it impacts their operations. Think about how your role as a Senior Data Engineer can influence business decisions. This will show that you’re not just a techie but also understand the bigger picture.
✨Prepare for Problem-Solving Questions
Expect questions that challenge your problem-solving skills. Prepare to discuss complex business challenges you've faced and how you turned them into smart data solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Show Your Collaborative Spirit
Since this role involves working with various stakeholders, be ready to talk about your experience in collaboration. Share examples of how you've worked with teams to shape best practices or drive projects forward. Highlighting your teamwork skills will resonate well with the interviewers.
