At a Glance
- Tasks: Build and maintain scalable data pipelines for analytics and AI.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Attractive salary, flexible working options, and growth opportunities.
- Why this job: Shape the future of data solutions and drive impactful business insights.
- Qualifications: Experience in data engineering and strong problem-solving skills.
- Other info: Dynamic team environment with a focus on collaboration and creativity.
The predicted salary is between 43200 - 72000 Β£ per year.
Are you a Data Engineer passionate about building scalable, cloud-first data platforms that power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making.
What You'll Do:
- Build, test, and maintain ETL/ELT pipelines for structured and unstructured data.
- Design and optimise data solutions.
Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. Please click on the apply button to read the full job description.
Senior Data Engineer in London employer: Lynx Recruitment Limited
Contact Detail:
Lynx Recruitment Limited Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Data Engineer in London
β¨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ETL/ELT projects. This will give potential employers a taste of what you can do and set you apart from the competition.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud platforms and data solutions, as well as any challenges you've faced and how you overcame them.
β¨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right job that matches your skills and passion. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with building scalable data platforms and ETL/ELT pipelines. We want to see how your skills align with the role, so donβt be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about data engineering and how you can contribute to our mission. Let us know what excites you about the role and our company.
Showcase Your Technical Skills: Donβt forget to mention your technical expertise in cloud technologies and data solutions. Weβre looking for someone who can design robust and secure systems, so highlight any relevant tools or languages youβve mastered.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at Lynx Recruitment Limited
β¨Know Your Data Stuff
Make sure you brush up on your ETL/ELT pipeline knowledge. Be ready to discuss specific projects where you've built or maintained these pipelines, especially for both structured and unstructured data. This will show that youβre not just familiar with the concepts but have real-world experience.
β¨Cloud Platforms Are Key
Since the role is cloud-first, get comfortable talking about your experience with cloud platforms like AWS, Azure, or Google Cloud. Prepare examples of how you've designed scalable data solutions in the cloud and be ready to discuss the challenges you faced and how you overcame them.
β¨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising systems. Think of a time when you encountered a significant issue in a data pipeline and how you resolved it. This will demonstrate your analytical thinking and ability to innovate under pressure.
β¨Align with Business Goals
Understand how your work as a data engineer can impact business insights and decision-making. Be prepared to discuss how your data solutions have supported analytics or AI initiatives in previous roles. This shows that youβre not just a techie but also understand the bigger picture.