At a Glance
- Tasks: Build an AI-powered data migration platform and drive client onboarding.
- Company: Fast-growing SaaS company at the forefront of technology.
- Benefits: Full-time role with opportunities for growth and development.
- Why this job: Join a dynamic team and make a real impact in tech innovation.
- Qualifications: Strong SQL skills and experience in data migrations required.
- Other info: Collaborative environment with a focus on clean coding practices.
The predicted salary is between 36000 - 60000 £ per year.
Overview
We are a fast-growing SaaS company, operating for over two years, at the cutting edge of technology. Our all-in-one integrated platform is powered by AI and designed to transform the way our industry operates.
What you will be doing
As a key member of our tech team, you will take ownership of building Fornax – our AI-powered data migration platform. This system is designed to seamlessly transfer data from outdated legacy systems into our own platform, enabling rapid onboarding of new clients and driving our continued growth.
Essential skills
- Strong SQL querying skills
- Proven experience in data migrations and data pipeline development
- Proficiency in writing clean, maintainable code and collaborating effectively within a team environment
To be considered
Please apply online or email me directly at daniel.jones@searchability.com. For further information, call me on 07704 152638. By applying for this role, you are giving express consent for us to process your application (subject to required skills) in conjunction with this vacancy only.
Key skills
- Python
- Scala
- SQL
- AWS
- Spark
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Software Development and IT System Custom Software Development
Senior Data Engineer in London employer: Searchability®
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data migration or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data migration projects or any relevant coding work. 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 SQL and Python skills. Be ready to discuss your experience with data pipelines and migrations. We want to see how you think and solve problems, so practice explaining your thought process!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong SQL querying skills and any experience you have with data migrations. We want to see how your expertise aligns with what we're looking for!
Keep It Clean: When writing your application, focus on clarity and conciseness. We appreciate clean, maintainable code, so let that reflect in your writing style too!
Team Spirit Matters: Since collaboration is key in our tech team, share examples of how you've worked effectively within a team environment. We love seeing how you contribute to group success!
Apply Through Our Website: Don't forget to apply online through our website! It's the best way for us to receive your application and get you into our system quickly.
How to prepare for a job interview at Searchability®
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL, Python, and AWS. Brush up on your data migration techniques and be ready to discuss how you've used these skills in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data pipeline development. Highlight how you approached these problems, the solutions you implemented, and the impact they had on your team or project.
✨Collaborate Like a Pro
Since teamwork is key, think of instances where you successfully collaborated with others. Be ready to discuss how you communicate within a tech team and how you ensure your code is clean and maintainable for others to work with.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI-powered platform and its future direction. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.