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- Tasks: Design and build scalable, cloud-first data platforms for innovation and decision-making.
- Company: Leading organisation in financial services with a focus on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of data analytics and AI.
- Qualifications: Experience in data engineering and strong problem-solving skills.
The predicted salary is between 50000 - 70000 £ per year.
Lynx Recruitment is supporting a leading organisation within financial services searching for a Data Engineer to design and build scalable, cloud-first data platforms that drive innovation and data-led decision-making. You will work across the full data lifecycle engineering secure, high-performance pipelines and modern data platforms that enable analytics, AI, and enterprise insights.
Key Responsibilities:
- Build and optimise ETL/ELT pipelines
- Design and manage data models
- Implement data quality checks
- Collaborate with data scientists and analysts
Data Engineer in Bristol employer: Lynx Recruitment Limited
Contact Detail:
Lynx Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those who are already working as Data Engineers. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ETL/ELT pipelines and data platforms. When you apply through our website, include links to your projects so potential employers can see your work in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your cloud technologies and data engineering concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. It shows you're genuinely interested in the role and helps keep you top of mind for the hiring team.
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL/ELT pipelines and any cloud technologies you've worked with. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our innovative projects. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building scalable data platforms or optimising data pipelines, we want to see your hands-on experience and creativity!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Lynx Recruitment Limited
✨Know Your Data
Make sure you brush up on your data engineering concepts, especially around ETL/ELT processes. Be ready to discuss your experience with building and optimising data pipelines, as this will likely come up in the interview.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to cloud-first data platforms. Highlight any innovative solutions you've implemented and how they contributed to data-led decision-making.
✨Understand the Company’s Needs
Research the organisation's current data challenges and think about how your skills can help solve them. This shows that you're not just interested in the role, but also in contributing to their success.
✨Ask Insightful Questions
Prepare some thoughtful questions about their data strategy and future projects. This demonstrates your genuine interest in the role and helps you assess if the company is the right fit for you.