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10 дней назад

Data Scientist (Data Engineering)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Scientist (Data Engineering) (Databricks/Snowflake): Building and delivering large-scale cloud-native data pipelines, data warehouses, and lakehouse solutions for aviation operations with an accent on Databricks, Snowflake, Spark, and MLOps. Focus on designing complex data architectures, implementing model management with MLflow, and developing reliable multi-cloud data platforms with Python, SQL, and Scala.

Location: Bucharest, Romania

Company

hirify.global is a technology-driven company headquartered in Dublin that helps airlines modernize operations using cloud, data, and AI through local and nearshore teams across the UK and Europe.

What you will do

  • Architect and deliver large-scale, cloud-native data solutions for aviation use cases.
  • Develop complex data pipelines, data warehouse solutions, and lakehouse architectures.
  • Work with Databricks, Spark, PySpark, Delta Lake, Snowflake, and MLOps tooling.
  • Implement model management and deployment workflows, ideally with MLflow.
  • Build data solutions using Python, SQL, and Scala across cloud platforms, primarily AWS.
  • Collaborate with data engineers, architects, and product owners to deliver high-quality data assets.

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 knowledge of AWS, cloud platforms, data lakes, data warehousing, and data modeling.
  • Experience with ETL, BI, data quality, governance, orchestration, version control, and CI/CD tools.
  • Advanced programming skills in Python, SQL, and Scala.
  • Strong communication, collaboration, analytical, and problem-solving skills, with the ability to work independently.

Nice to have

  • Experience with Azure and multi-cloud environments.
  • Master’s degree in Computer Science, Data Science, or a related field.
  • Enterprise experience designing and implementing complex data platforms.
  • Experience with Scaled Agile planning and execution.

Culture & Benefits

  • Flexible working environment.
  • Career advancement opportunities.
  • Learning and development opportunities.
  • Competitive salary based on experience.
  • Inclusive and diverse working environment.

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