At a Glance
- Tasks: Own customer data migrations, ensuring accuracy and quality while troubleshooting complex datasets.
- Company: Fast-growing AI and automation SaaS company, voted one of the Best Places to Work.
- Benefits: 25 days leave, flexible working, private health insurance, and a MacBook.
- Other info: Enjoy a dynamic remote work environment with excellent career growth opportunities.
- Why this job: Join a leading tech company and make a real impact in data migration.
- Qualifications: Strong Python skills and experience with AWS services required.
Remote (UK) | £35,000 – £45,000 | Full-time, Permanent
Right to work in UK only.
We're recruiting on behalf of a fast-growing AI and automation SaaS company for a Data Migration Engineer to join their growing migrations team.
About the Role
This is a fully remote role sitting within the data migrations team, working closely with the migrations product manager and lead migration engineers. You'll own the day-to-day delivery of customer data migrations onto the platform, working with established migration frameworks on repeatable migrations, while also helping build out new migration types with support from senior engineers as you grow into the role.
You'll handle complex customer data: transforming, validating, and troubleshooting issues across the migration flow. You'll also communicate directly with internal teams and, where needed, join customer calls to explain technical points and support delivery.
Key Responsibilities
- Own delivery of data migrations into the platform, ensuring accuracy and quality
- Work across both established and new migration types, becoming increasingly self-sufficient
- Transform, validate, and troubleshoot complex customer datasets
- Liaise with internal teams and customers, including joining calls to explain technical issues
- Feed back edge cases, documentation gaps, and process improvements to the team owning migration architecture
Essential Skills & Experience
- Strong Python skills (this is a backend-focused role)
- Confidence working with AWS services, particularly DynamoDB, S3, containers, and ECS
- Solid understanding of APIs and endpoint-based integrations, including working with unfamiliar external systems and documentation
- Working knowledge of SQL
Desirable Skills & Experience
- Familiarity with AWS Lambda and streams
- Basic frontend awareness (jQuery or Svelte)
- Exposure to FTP/SFTP-based export retrieval
- Familiarity with CRM platforms, recruitment systems, or adjacent operational software
- Previous customer-facing technical work or integration-heavy experience
What We're Looking For
Our client is looking for someone who is genuinely comfortable with structured, repeatable, process-driven work rather than seeking constant novelty. You'll be highly detail-oriented and diligent, with a strong sense of integrity and the patience to check data thoroughly and spot risks or edge cases. You'll be independent and reliable in your execution, while knowing when to escalate or ask for review, and you'll manage your time well against fixed deadlines and rolling delivery pressures.
Interview Process
A two-stage process: an initial 30-minute conversation to discuss background and experience, followed by a one-hour technical interview including a take-home exercise.
Benefits
- 25 days annual leave plus public holidays
- MacBook plus any additional tech or software you need
- Flexible working arrangements
- Private Health, Dental, and Vision Insurance (Aviva)
- Income Protection Insurance
- Extended mental health cover and Employee Assistance Programme
- Compassionate leave policy
- Private pension contributions (Royal London)
- Monthly company social events and regular in-person hackathons
Interested? Apply now or get in touch to find out more.
Data Migration Engineer in London employer: Vermillion Analytics
Join a fast-growing AI and automation SaaS company that has been recognised as the Financial Times' fastest-growing software company in Europe and one of The Sunday Times' Best Places to Work. With a fully remote work culture, this role offers excellent benefits including 25 days annual leave, private health insurance, and flexible working arrangements, all while providing ample opportunities for professional growth and collaboration within a supportive team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vermillion Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Migration Engineer at Vermillion Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vermillion Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Data Migration Engineer at Vermillion Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Migration Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vermillion Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vermillion Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vermillion Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vermillion Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
