Data Engineer

The global consulting company with an exclusive focus on the healthcare and life science industries is looking for a Data Engineer.

Responsibilities:

What You’ll Do

• Build and manage ETL/ELT pipelines using tools like Databricks, dbt, PySpark, and SQL.
• Contribute to scalable data platforms across cloud environments (Azure, AWS, GCP).
• Implement and maintain CI/CD workflows using tools such as GitHub Actions and Azure DevOps.
• Apply DataOps principles: pipeline versioning, testing, lineage, deployment automation, and monitoring.
• Integrate automated data quality checks, profiling, and validation into pipelines.
• Ensure strong data observability via logging, metrics, and alerting tools.
• Collaborate on infrastructure as code for data environments using Terraform or similar tools.
• Connect and orchestrate ingestion from APIs, relational databases, and file systems.
• Work in agile teams, contributing to standups, retrospectives, and continuous improvement.

Requirements — Must have:

What We’re Looking For

• We believe diverse perspectives and backgrounds lead to better ideas. Even if you don’t meet every requirement, we’d still love to hear from you.

• Core Experience & Skills
  • Experience with cloud-native data engineering using tools such as Databricks, dbt, PySpark, and SQL.
  • Comfort working with at least one major cloud platform (Azure, AWS, GCP) — and openness to others.
  • Hands-on experience with CI/CD automation, especially with GitHub Actions or Azure Pipelines.
  • Strong Python programming skills for transformation, scripting, and automation.
  • Working knowledge of data quality, validation frameworks, and test-driven data development.
  • Familiarity with observability practices including metrics, logging, and data lineage tools.
  • Understanding of DataOps concepts, including reproducibility, automation, and collaboration.
  • Team-first mindset and experience in agile environments (Scrum or Kanban).
  • Professional working proficiency in English (our internal and client-facing working language).

Requirements — Nice to have:

• Experience with Snowflake or similar cloud data warehouses.
• Knowledge of data lineage tools and frameworks.
• Infrastructure automation using Terraform, Bash, or PowerShell.
• Exposure to data modeling techniques like Data Vault or dimensional modeling.
• Familiarity with data testing tools.
• Understanding of GxP or other healthcare data regulations.
• Experience with non-relational data systems (e.g., MongoDB, CosmosDB).

Languages

• English B2

We Offer:​​​​​​

— Relocation to Georgia, Batumi with excellent compensation package

— Modern office in very good location

— Full medical insurance for employee and his family

— Different training programs to support your personal and professional development

— An employee-centric culture directly inspired by employee feedback — your voice is heard, and your perspective encouraged

— Possibilities of career development and the opportunity to shape the company future

— Work in a fast growing, international company

— Friendly atmosphere and supportive Management team

Full-time
Office, hybrid
Contacts: davidovicholga0102@gmail.com