Data Engineer (Data Migrations)

Data Engineer (Data Migrations)
Remote | Full-time | UK Timezones (UTC-4 to UTC+3 preferred)

About Our Client

They are 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. They’re profitable, bootstrapped, and committed to staying remote.

They doubled revenue in 2024 and continue to grow at a rapid pace. With a growing queue of new practices ready to migrate, they’re hiring a Data Engineer to own and deliver migrations from start to finish, and improve their robust Ruby data tooling.

The role

You’ll guide new customers through migrating from their old practice management systems. 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 their 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 their tooling and processes to improve speed, reliability, and test coverage

You’ll work alongside experienced Ruby and DevOps engineers, including the original author of their 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. they 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 (they 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

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