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Data Engineer



  • Design and implement Data architectures on cloud or on-premises.
  • Develop logical data models for OLTP and OLAP processing.
  • Develop data pipelines for extracting, cleansing, transforming, and enhancing data.
  • Discovers and elicits business and data requirements.
  • Team-oriented attitude and the ability to work well with others to achieve a common goal.
  • Open to working in an agile environment as part of a scrum team.
  • The ability to take the initiative, drive the project and innovate.
  • Having a proactive attitude towards solving problems.
  • Good client-facing skills.


Qualifications and Experience

  • Experience with Python.
  • Experience with Spark/Databricks.
  • Strong SQL and scripting experience.
  • Experience implementing ELT process and Data pipelines.
  • Experience in data modeling (normalized and multidimensional).
  • Background and experience with cloud data technologies and tools.
  • Familiar with distributed computing environments.
  • Familiar with data tools and technologies such as:
  • BigQuery, Redshift, Snowflake, other Data warehouse tools
  • Spark, Hadoop, Apache beam, Dataproc or similar.
  • Real time pipelines with Kinesis or Kafka.
  • Batch processing.
  • Serverless processing.
  • Good leadership and communications skills.
  • Advanced English Skills (B2 or above).


About Endava

Endava is reimagining the relationships between people and technology. For the past 20 years it has helped some of the world's leading Finance, Insurance, Telecommunications, Media, Technology and Retail companies accelerate their ability to take advantage of new business models and market opportunities. We have more than 8200 employees located in close to client locations in Denmark, Germany, Netherlands, United Kingdom, United States and nearshore delivery centers in the EU: Romania, Bulgaria, Croatia and Slovenia; Central European Countries: North Macedonia, Moldova, Serbia and Bosnia and Herzegovina; Latin America: Argentina, Colombia and Uruguay.

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