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 week 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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.