Lublin,  Wrocław,  Remote.PL,  Kraków
Remote work
Lublin,  Wrocław,  Remote.PL,  Kraków
Remote work

About the vacancy

Our client is one of the world’s top 10 investment companies with headquarters in Great Britain. They are building a data market that will aggregate and process data from multiple data feeds and systems like stock exchanges, news feeds, stock exchange brokers, internal quantitative systems and others. The project involves around 90 various specialists (30 Big Data engineers, 10 data and business analysts, InterSystems cache developers, Java developers and Quantitative analysts/developers, etc.).

As a big data engineer, you will be developing a platform that models and predicts trends in the financial markets.

Must have

  • Experience working with Apache NiFi or Hadoop (HDFS, MapReduce, HBase)
  • Hands-on experience with Shell scripting
  • Strong experience with SQL
  • Spoken English

Would be a plus

  • Experience working in an agile environment and understanding of various phases of the software development life cycle
  • Hands-on experience with Spark 2.0 or greater (+ Scala)
  • Experience working with Hive And Impala
  • Experience with Data modelling
  • Skills working with Oozie
  • Skills working with Airflow
  • Skills working with Datasets and Data frames
  • Skills using source code and version control systems like SVN, Git, etc.
  • Experience on CDP(Cloudera Data Platform)
  • Knowledge of Hadoop architecture components

Learn more about our policy of equal opportunities in employment

Work at DataArt is

People first

Our relationships with clients and colleagues are based on mutual respect, no matter what differences we may have.

  • Long-term partnership
  • Respect for individuality and freedom of expression
  • Flexible schedule, comfortable offices, and the ability to work from home
  • Market-driven compensation and health care
  • High quality internal administrative services


Get the opportunity to unleash your potential in DataArt's ecosystem

  • Highly qualified team
  • Communities and knowledge sharing
  • English classes
  • Internal educational system


Freedom to explore and opportunities to get new experience and knowledge. Constant willingness to change

  • Work contract with DataArt, not project based employment
  • Flat structure
  • Minimum rules
  • Rules and policies change with context, while values stay the same
  • Easy movement among offices and opportunities for relocation


The ability to count on each other and the willingness to trust people lies at the heart of relationships in DataArt

  • Management via context, bottom-up decision making. We avoid micromanagement
  • Clear equal rules and policies
  • Fair management
  • No ranking vs others, no regular reassessments. Fair seniority assessment

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