Data Engineer

Job description

About the vacancy

Our client is one of the largest professional certification associations in the finance industry. This is a global, well-known, not-for-profit organization, providing services from 1947. DataArt acts as its primary technology execution and development partner, helping solving challenges our client-facing on its transition from the offline-based service model to the online, computer-based operations.

DataArt serves as a solution provider. Our team of ~100 professionals executing ~20 projects of different sizes and different IT areas running in parallel – and we are growing!

A team of senior Data Engineers, who is creating a new data landscape for the whole IT infrastructure of the company, have a Middle+ Data Engineer vacancy opened.

We hire people not for a project but for the company. If the project (or your work on it) is over you go to another project or to a paid “Idle”.

Required Skills and Experience

  • 3+ years of engineering experience, 2+ years working with data in any major cloud (Azure, AWS, GCP)
  • Experience working with the Azure Data Platform (Azure SQL, Azure Storage) and/or Snowflake platform
  • Solid MS SQL knowledge
  • Expertise in SQL and comfortable designing, writing, and maintaining complex SQL-based ETL process
  • Experience building batch and micro-batch data pipelines; ETL design, implementation, and maintenance
  • Developer experience with Python, NodeJS, C# or Java
  • Spoken and written English

Additional Competencies

  • Understanding of data warehouse layers, approaches to load data into such layers, and relevant algorithms
  • Experience in designing the data platform architecture
  • Experience with schema design and data modeling, and analytical skills to QA the data and identify gaps and inconsistencies
  • Experience with, Azure DataLake Storage, Azure Databricks, Azure Data Factory, Azure Functions
  • Knowledge and experience with bash, and/or other scripting languages

Learn more about our policy of equal opportunities in employment

Trabajar en DataArt es

Primero y ante todo, las personas

Las relaciones con los clientes y entre colegas se basan en el respeto mutuo, a pesar de nuestras diferencias


Capacidad para desarrollar tu potencial en DataArt.


Libertad para explorar oportunidades y obtener nuevas experiencias y conocimientos.


La capacidad de contar unos con otros y la voluntad de confiar en las personas son elementos fundamentales de las relaciones en DataArt.

HR Team

Tetiana Kovalenko



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