Data Scientist

Location: Dublin, Ireland

Company

hirify.global is a technology-driven company that helps airlines modernize operations through cloud, data, and AI solutions delivered by aviation-focused teams.

What you will do

• Architect and deliver large-scale, cloud-native data solutions for airline operational intelligence.
• Develop complex data pipelines, data warehouse solutions, lakehouse architectures, and high-quality data assets.
• Build and manage solutions using Databricks, Spark, PySpark, Delta Lake, and Snowflake.
• Apply MLOps practices, including model management and deployment with MLflow.
• Use Python, SQL, and Scala together with GitHub, CI/CD, Airflow, Jenkins, and dashboarding tools.
• Collaborate with data engineers, architects, and product owners to ensure high-quality delivery.

Requirements

• At least 5 years of experience in data engineering or a related field.
• At least 1 year of hands-on Databricks experience in a production environment.
• Strong expertise in cloud platforms, data lakes, data warehousing, ETL, data quality, governance, and data modeling.
• Advanced programming skills in Python, SQL, and Scala.
• Experience with AWS; Azure experience is useful for multi-cloud environments.
• Strong communication, collaboration, analytical, problem-solving, and autonomous working skills.

Nice to have

• Master's degree in Computer Science, Data Science, or a related field.
• Enterprise experience designing and implementing complex data pipelines and data warehouse solutions.
• Experience with Scaled Agile planning and execution.
• Experience with Azure, Tableau, Alteryx, Atlan, or Monte Carlo.

Culture & Benefits

• Flexible working environment.
• Career advancement opportunities.
• Learning and development opportunities.
• Competitive salary based on experience.
• Inclusive workplace committed to diversity, equity, and inclusion.