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- Tasks: Lead the design of scalable data architectures and mentor fellow engineers.
- Company: Join a leading global business focused on data and analytics.
- Benefits: Enjoy enhanced parental leave, generous annual leave, and a healthcare plan.
- Why this job: Shape the future of data platforms and solve complex challenges.
- Qualifications: Experience in data pipelines, SQL, Python, and cloud platforms required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 55000 - 65000 £ per year.
Senior Data Engineer – Cardiff / Hybrid – £65,000 – £75,000 + benefits
Yolk Recruitment are proud to be supporting a leading global business investing heavily in its data and analytics capabilities. They\’re looking for a Senior Data Engineer to help shape the next generation of their data platform – leading technical design, mentoring others, and driving best practice.
This is a great opportunity for an experienced data professional who enjoys solving complex challenges, optimising large-scale systems, and influencing strategy within a collaborative, forward-thinking team.
What you\’ll be doing:
- Lead the design and implementation of scalable, high-performance data architectures and pipelines.
- Define and enforce best practices for data engineering, including coding standards, testing, and documentation.
- Mentor and guide engineers, fostering collaboration and technical excellence.
- Translate complex business requirements into reliable, well-structured data solutions.
- Optimise data workflows for performance, reliability, and cost efficiency.
- Drive adoption of modern data tools and technologies across the organisation.
- Ensure robust data governance, security, and compliance.
- Troubleshoot and resolve complex data issues, delivering long-term solutions.
- Work with analytics, product, and engineering teams to support advanced analytics and machine learning initiatives.
The skills you\’ll need:
- Extensive experience designing and building large-scale data pipelines and ETL processes.
- Strong proficiency in SQL and Python.
- Deep understanding of data modelling, warehousing, and performance optimisation.
- Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services.
- Hands-on experience with big data frameworks (e.g. Apache Spark, Hadoop).
- Strong knowledge of data governance, security, and compliance.
- Ability to lead technical projects and mentor junior engineers.
- Excellent problem-solving skills and experience in agile environments.
Desirable:
Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools.
Company Benefits:
- Enhanced Parental Leave
- Generous annual leave
- Healthcare Plan
- Annual Giving Day – an extra day to give back to yourself or your community
- Cycle-to-work Scheme
- Pension scheme with employer contributions
- Life Assurance – 3x base salary
- Rewards Programme – access to discounts and cashback
- LinkedIn Learning Licence for upskilling & development
Ready to Apply?
Please apply with your latest CV.
Know someone who\’d be great for this role? We offer a referral scheme-just get in touch!
Note: We do our best to respond to every application, but due to volume, we can\’t always guarantee it. If you haven\’t heard back within 7 days, unfortunately, you haven\’t been successful this time. Keep an eye on our site for new opportunities!
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Senior Data Engineer employer: Yolk Recruitment Ltd
Contact Detail:
Yolk Recruitment Ltd 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 your connections in the data engineering field, attend meetups, and engage on platforms like 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 projects, especially those involving large-scale data pipelines or cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled complex challenges in the past.
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, SQL, and Python, and don’t forget to mention any cloud platforms you’ve worked with. We want to see how your skills match what we’re looking for!
Showcase Your Projects: Include specific projects where you've designed scalable data architectures or optimised workflows. This gives us a clear picture of your hands-on experience and problem-solving skills. We love seeing real-world examples of your work!
Keep It Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to proofread for any typos. We appreciate a well-structured application that’s easy to digest!
Apply Through Our Website: Don’t forget to apply 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 on joining our team at StudySmarter!
How to prepare for a job interview at Yolk Recruitment Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around large-scale data pipelines and ETL processes. Brush up on your SQL and Python skills, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex data challenges you've faced in the past. Be ready to explain how you optimised workflows or resolved issues, as this will demonstrate your ability to think critically and act decisively.
✨Familiarise Yourself with Modern Tools
Since the role involves driving the adoption of modern data tools, make sure you’re up to speed with platforms like AWS, Azure, or GCP, as well as big data frameworks like Apache Spark. Mention any hands-on experience you have with these technologies.
✨Emphasise Collaboration and Mentorship
This position requires leading and mentoring others, so be prepared to talk about your experience in fostering collaboration within teams. Share examples of how you've guided junior engineers or contributed to a positive team environment.
