Analytics Engineer

TL;DR

Analytics Engineer: Developing and maintaining robust data models and high-load ETL pipelines with an accent on SQL, dbt, and Spark for an advertising platform. Focus on building scalable data marts, ensuring high data quality through automation, and optimizing complex analytical queries.

Location: Must be based in or relocate to Limassol, Cyprus

Company

hirify.global is a technology company building a high-load partner advertising system with a focus on modern user interfaces and advanced engagement.

What you will do

• Transform complex business requirements into scalable data models and reliable ETL processes.
• Develop and maintain data marts using dbt, Spark, Iceberg, and Clickhouse.
• Write and optimize advanced SQL queries for high-performance analytical tasks.
• Ensure data quality through the implementation of automated testing frameworks.
• Collaborate with cross-functional teams to identify and address data needs.
• Monitor and troubleshoot data pipeline issues to ensure system stability.

Requirements

• Advanced proficiency in SQL, including window functions, CTEs, and OLAP systems.
• Intermediate Python skills for data processing and task automation using Airflow.
• Strong experience with dbt for building transformation DAGs and model documentation.
• Analytical mindset with the ability to translate business KPIs into technical solutions.
• Must be willing to relocate to Limassol, Cyprus (full support provided).

Nice to have

• Hands-on experience with Spark (PySpark), Iceberg, and Clickhouse.
• Deep understanding of execution plans and database performance tuning.

Culture & Benefits

• EU-based employment contract with comprehensive 3-year visa and relocation support for the entire family.
• Full relocation package including flights and company-covered accommodation.
• Private medical insurance for employee and family, plus corporate mobile and car purchase support.
• Financial support for sports, childcare, and language learning.
• Strong engineering culture featuring international teams, hackathons, and corporate events.

Hiring process

• HR interview (30 minutes).
• Technical interview (1.5 hours).
• Final interview (1 hour).