TL;DR

Data Engineer (Azure): Design, develop, and maintain scalable data pipelines and architectures in Azure cloud environments with an accent on data quality, security, and performance optimization. Focus on building complex data solutions for international enterprises and high-growth scale-ups, solving challenges in real-time pipelines, ETL, and data governance.

Location: Hybrid with offices in Zagreb, Split, Osijek, and Rijeka, Croatia

Company

%hirify_global% delivers scalable and dynamic data and software solutions across industries including travel, finance, insurance, energy, and healthcare.

What you will do

Design, develop, and maintain scalable data pipelines and architectures in Azure.
Work on custom data warehousing, real-time pipelines, and ETL processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Optimize data workflows for performance, scalability, and reliability.
Ensure data quality, security, and compliance with industry standards.
Make technical decisions and stay updated with latest Data Engineering trends.

Requirements

Location: Must be based in Croatia or able to work hybrid from company offices.
Experience with Azure Cloud and modern ETL tools like Azure Data Factory or Databricks.
Proficiency in Spark SQL and experience optimizing Databricks workloads.
Strong problem-solving skills and ability to communicate data insights clearly.
English: High proficiency (written and spoken) required.

Nice to have

Experience with Databricks Unity Catalog for data governance.
Knowledge of Python/PySpark.
Experience with reporting tools such as Power BI or Tableau.
Familiarity with CI/CD pipelines.

Culture & Benefits

Remote-first culture with flexibility to work from home or company offices.
Above average paid annual leave plus extra days for tenure and birthday.
Additional health and accident insurance 24/7.
Paid lunch in the office and flexible working hours.
Opportunities for learning, certifications, and knowledge exchange.