Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer (Data Migrations)

TieTalent
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Join to apply for the Data Engineer (Data Migrations) role at TieTalent

2 days ago Be among the first 25 applicants

Join to apply for the Data Engineer (Data Migrations) role at TieTalent

Get AI-powered advice on this job and more exclusive features.

About

Data Engineer (Data Migrations)Remote | Full-time | UK Timezones (UTC-4 to UTC+3 preferred) About Carebit Carebit is a design-led, remote-first healthtech company helping hundreds of private doctors across the UK run their practices more efficiently—and delivering a better experience for their patients. We’re profitable, bootstrapped, and committed to staying remote. We doubled revenue in 2024 and continue to grow at a rapid pace. With a growing queue of new practices ready to migrate, we’re hiring a Data Engineer to own and deliver migrations from start to finish, and improve our robust Ruby data tooling. The role You’ll guide new customers through migrating from their old practice management systems into Carebit. This involves cleaning, validating, and converting data (patients, bookings, invoices, etc.)—usually from structured exports or spreadsheets. You’ll communicate with customers throughout the process, helping them feel confident and supported. All key processes are well documented in our internal playbook. A typical migration includes: Booking a migration date and answering any customer queries Receiving data via FTP (typically ~5GB) Cleaning, validating, and converting data using Ruby scripts (CSV → JSON) Writing new Ruby scripts where needed (for less structured sources) Uploading converted data to AWS S3 and scheduling import jobs Iterating on our tooling and processes to improve speed, reliability, and test coverage You’ll work alongside experienced Ruby and DevOps engineers, including the original author of our migration tooling. Requirements Proven experience as a Data Engineer or backend developer with strong data transformation and scripting skills Proficiency in Ruby (or ability to pick it up quickly); experience processing CSV and outputting JSON Comfortable with Linux, bash scripting, Ansible provisioning, and remote Ubuntu environments Familiar with both SQL and NoSQL structures (e.g. we import from MongoDB, though don’t use it internally) Experience validating, transforming, and cleaning large datasets Confident working with CSV/JSON, Postgres (for intermediate processing), and AWS S3 Experience building automated test suites (we use RSpec) Excellent spoken/written English, customer-focused mindset, and calm communication style Able to own and improve a technical function independently Located within UTC-4 to UTC+3 (UTC+1 preferred for alignment) Bonus points for Formal ETL experience AWS and Terraform knowledge An automation-first mindset Benefits Competitive salary 25 days holiday/year Async work culture with minimal meetings Laptop, chair, and setup budget

About

Data Engineer (Data Migrations)Remote | Full-time | UK Timezones (UTC-4 to UTC+3 preferred) About Carebit Carebit is a design-led, remote-first healthtech company helping hundreds of private doctors across the UK run their practices more efficiently—and delivering a better experience for their patients. We’re profitable, bootstrapped, and committed to staying remote. We doubled revenue in 2024 and continue to grow at a rapid pace. With a growing queue of new practices ready to migrate, we’re hiring a Data Engineer to own and deliver migrations from start to finish, and improve our robust Ruby data tooling. The role You’ll guide new customers through migrating from their old practice management systems into Carebit. This involves cleaning, validating, and converting data (patients, bookings, invoices, etc.)—usually from structured exports or spreadsheets. You’ll communicate with customers throughout the process, helping them feel confident and supported. All key processes are well documented in our internal playbook. A typical migration includes: Booking a migration date and answering any customer queries Receiving data via FTP (typically ~5GB) Cleaning, validating, and converting data using Ruby scripts (CSV → JSON) Writing new Ruby scripts where needed (for less structured sources) Uploading converted data to AWS S3 and scheduling import jobs Iterating on our tooling and processes to improve speed, reliability, and test coverage You’ll work alongside experienced Ruby and DevOps engineers, including the original author of our migration tooling. Requirements Proven experience as a Data Engineer or backend developer with strong data transformation and scripting skills Proficiency in Ruby (or ability to pick it up quickly); experience processing CSV and outputting JSON Comfortable with Linux, bash scripting, Ansible provisioning, and remote Ubuntu environments Familiar with both SQL and NoSQL structures (e.g. we import from MongoDB, though don’t use it internally) Experience validating, transforming, and cleaning large datasets Confident working with CSV/JSON, Postgres (for intermediate processing), and AWS S3 Experience building automated test suites (we use RSpec) Excellent spoken/written English, customer-focused mindset, and calm communication style Able to own and improve a technical function independently Located within UTC-4 to UTC+3 (UTC+1 preferred for alignment) Bonus points for Formal ETL experience AWS and Terraform knowledge An automation-first mindset Benefits Competitive salary 25 days holiday/year Async work culture with minimal meetings Laptop, chair, and setup budget

Nice-to-have skills

  • Ansible
  • Linux
  • MongoDB
  • NoSQL
  • Ruby
  • SQL
  • Ubuntu
  • London, England, United Kingdom

Work experience

  • Data Engineer
  • Data Infrastructure

Languages

  • English

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesTechnology, Information and Internet

Referrals increase your chances of interviewing at TieTalent by 2x

Get notified about new Data Engineer jobs in London, England, United Kingdom.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London Area, United Kingdom $150,000.00-$200,000.00 3 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

Greater London, England, United Kingdom 2 months ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 months ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom £60,000.00-£80,000.00 1 month ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

Graduate Software Engineer (Data & Infrastructure)

London, England, United Kingdom 3 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 5 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.