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- Tasks: Design and build scalable real-time data pipelines for impactful analytics.
- Company: Join Quantum, a leading digital comparison service driving growth through data.
- Benefits: Enjoy hybrid working, private healthcare, and a market-leading training programme.
- Why this job: Make a real impact in a fast-paced environment with innovative technology.
- Qualifications: Experience in data engineering and proficiency in cloud platforms and programming languages.
- Other info: Be part of a dynamic team with regular social events and career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity. Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions. We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale. With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.
Our Technology team is growing! We’re looking for a highly skilled and experienced Senior Data Engineer to design and build a robust, scalable, and high-performance real-time data backbone. In this role you will lead the design, development, and implementation of a real-time data backbone. This position focuses on building and maintaining scalable, high-performance data pipelines that support real-time data processing and analytics. You will work closely with various teams to ensure the infrastructure meets the business's growing data needs while leveraging modern technologies for efficient data ingestion, storage, and analysis.
Key Responsibilities- Design, develop, and maintain scalable real-time data pipelines and infrastructure.
- Integrate various data sources and ensure seamless real-time data flow across the organisation.
- Build efficient, fault-tolerant, and highly available data ingestion processes.
- Monitor and improve data pipeline performance and scalability for low-latency and high-throughput.
- Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to ensure data infrastructure aligns with business objectives.
- Hands-on experience in data engineering with a proven track record of building and managing real-time data pipelines across multiple initiatives.
- Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage.
- Programming skills in Python, Java, Scala, or a similar language.
- Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling.
- Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes).
- You thrive when working as part of a team.
- Comfortable in a fast-paced environment.
- Have excellent written and verbal English skills.
- Last but not least, you’ll have no ego!
- Company Bonus Scheme
- Hybrid Working (3 days in office)
- Private Health Care (Bupa)
- Travel Insurance
- Market Leading Training Programme
- Recognition & Reward Scheme
- Annual Company Conference (previous destinations Vienna, Bologna, Dubrovnik and Thessaloniki)
- Regular Happy Hour / Team Lunches
- Free Coffee, Drinks & Snacks
What’s the next step? Our hiring process ensures we’re recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we’re all about at Quantum and want to join a team where you can make an impact, please apply or contact us at careers@quantum.media.
Senior Data Engineer employer: Quantum
Contact Detail:
Quantum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Quantum on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with real-time data pipelines. This will not only impress but also demonstrate your hands-on expertise.
✨Tip Number 3
Be ready for the tech talk! Brush up on your knowledge of cloud platforms and data orchestration tools. Expect technical questions, so being well-prepared will help you shine during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Quantum team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with real-time data pipelines and cloud platforms like AWS or GCP. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Let us know why you're excited about working at Quantum and how you fit into our vision.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your hands-on experience with data pipelines and orchestration tools. We love seeing what you've accomplished!
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’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Quantum
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially real-time data pipelines. Brush up on your experience with cloud platforms like AWS, GCP, or Azure, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenges you've faced in building scalable data infrastructures. Highlight your approach to troubleshooting and optimising data pipeline performance, as this will demonstrate your hands-on experience and critical thinking.
✨Collaborate Like a Pro
Since the role involves working closely with cross-functional teams, be ready to talk about your teamwork experiences. Share specific instances where you collaborated with software engineers or data scientists to achieve a common goal, showcasing your ability to communicate effectively.
✨Stay Current with Trends
Familiarise yourself with the latest trends in data engineering and analytics. Being able to discuss new tools or methodologies shows that you’re proactive and passionate about your field, which is something Quantum values highly.
