Role & TeamWe're looking to hire a
Data Migration Engineer to own the technical execution of data migrations that move customers from legacy systems into gaiia. You'll join the
Migration Solutions team, which owns the end-to-end delivery of customer migrations. Within that team, you own the data - exploring source systems, exporting it, transforming it into gaiia's standard format, and driving its execution to a validated, production-ready state.
You'll partner closely with the
Data Migration Specialist - who owns the customer relationship and migration design - working from the business context and mapping rules they hand off. You'll also work alongside the
Migration Platform team, who build and maintain the internal tooling that runs migrations: you'll live in it daily, improve it where you can, and specify the larger needs for them to build. This is a hands-on engineering role for someone who likes turning messy, real-world data into something clean, repeatable, and trusted.
What You're Going to Do- Explore legacy source systems (databases, flat files, reports, APIs) to understand their structure, quality, and relationships in the context of gaiia's data model.
- Export source data across a range of access methods - SQL, APIs, manual extracts, and database backups.
- Transform exported data into gaiia's standard format by authoring declarative, version-controlled mapping files that encode the business rules defined with the Data Migration Specialist.
- Execute migrations end-to-end on the internal migration platform: load, validate against target schemas, reconcile, and import to production.
- Build and reuse mappings, templates, and validation rules so each migration is faster and more repeatable than the last.
- Contribute small engineering improvements to the migration tooling - new validation rules, transforms, mapping updates - and raise larger needs to the Migration Platform team.
- Diagnose and resolve data discrepancies during dry runs, UAT, and post-cutover.
- Document mapping specs, transformation logic, and data anomalies so migrations are auditable and repeatable.
What Success Looks Like- Source data lands in gaiia accurately, completely, and on schedule, with discrepancies caught before go-live.
- Transformation and validation work is reusable - later migrations build on your templates and rules rather than starting from scratch.
- Data issues are diagnosed and resolved quickly, keeping migrations on schedule.
- Tooling gaps are either fixed directly or clearly specified for the Migration Platform team.
- The data you deliver is trusted - accurate and well-documented enough to present to customers with confidence.
Qualifications- Experience (3-5+ years) in data engineering, data migration, ETL, or a similar hands-on data role.
- Strong command of ETL fundamentals - you treat extract transform load as a deliberate methodology: staging, repeatable/idempotent loads, full vs. incremental loads, and validation and reconciliation at each stage.
- Hands-on data-manipulation fluency - comfortable querying, profiling, and reshaping data across languages (SQL, Python, JSON, or similar) and debugging issues in unfamiliar source schemas.
- Experience extracting data from a variety of sources: relational databases, APIs, flat files, and backups.
- Proven ability to transform messy, poorly documented data into clean, structured output.
- Solid grasp of data quality, validation, reconciliation, and cleansing techniques.
- Familiarity with OSS/BSS, telecom, or billing/CRM data models (e.g. subscribers, services, billing accounts) - or the ability to ramp on unfamiliar domain models quickly.
- Proficiency in TypeScript/JavaScript (Node) for data and tooling work, and comfort with version-controlled, repeatable transformations.
- A bias toward reusability and automation over one-off scripts.
- Comfortable operating in fast-paced, ambiguous environments with shifting source systems.
- Bachelor's degree in Computer Science, Information Systems, Data/Software Engineering, or a related field, or equivalent work experience.
Nice-to-have- Comfort using AI-assisted tooling to accelerate data exploration, mapping, and validation.
- Familiarity with building or extending an internal data platform or migration tooling.
- Exposure to cutover/go-live operations: delta loads, reconciliation, and rollback.
- Experience collaborating with a separate platform or product engineering team.
SalaryAt gaiia, we have a transparent salary philosophy and a robust evaluation and compensation framework. It translates to a fair and impartial model where salaries are published internally, healthy discussions about compensation and performance can exist, and taboos are removed.
Benefits- Flexible 25-days of vacation.
- Stock Options Plan.
- Group Insurance.
- Telemedicine.
- Life Spending Account.
- GRSP.
- Flexible working hours & all-remote work.
