Data Engineer (ML)

Location: Remote, hybrid, or office-based work available in Armenia, Azerbaijan, Georgia, Serbia, or Ukraine.

Salary: EUR 2,800–4,550 gross per month.

Company

hirify.global is an outsourcing company delivering software projects for international businesses across multiple industries.

What you will do

• Design data structures for reference data, image metadata, intermediate and inference results, and pass/fail decisions.
• Ensure traceability from source image through model result to final quality decision.
• Evaluate extending the existing database versus introducing a separate data store.
• Implement database schemas and data flows for the machine learning pipeline.
• Integrate and synchronize data between on-premise tools and AWS.
• Add data quality checks and validation rules, and document data models and flows.

Requirements

• 5+ years of experience in data engineering.
• Strong experience designing databases and creating data models from scratch.
• Advanced SQL skills and hands-on experience with PostgreSQL or other relational databases.
• Strong Python proficiency for developing and maintaining data pipelines.
• Experience integrating and synchronizing data across multiple systems.
• Experience storing and versioning machine learning model outputs, features, and scoring results.
• Hands-on AWS experience, including S3, RDS, Glue, and Lambda.
• English at Intermediate+ level or above.

Nice to have

• Experience with SQLite and migrating local databases to cloud environments.
• Knowledge of data lineage, auditing, and traceability.
• Experience with Terraform and CI/CD pipelines for data engineering workflows.

Culture & Benefits

• Work with leaders and businesses across FinTech, Healthcare, Retail, Telecom, and other domains.
• Opportunity to change projects and develop expertise in different business domains.
• Professional, financial, and career growth supported by mentoring and onboarding programs.
• Up to EUR 1,000 additional monthly earning potential, included in the annual bonus and dependent on expertise and participation in company activities.
• Corporate training portal, certification compensation, referral program, private health insurance, and sports compensation depending on employment type.
• Corporate events and workplace perks including parties, pizza days, PlayStation, fruits, coffee, snacks, and movies.