Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Engineer (Data Migrations)

TieTalent
London
1 week ago
Create job alert

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

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.