Senior Data Engineer (Spark) [Rekrutacja online]
Miejsce pracy: Warszawa
We are looking for you:
  • If you have experience with Spark and Kafka,
  • If you have experience with HDFS/Hive and generally with Hadoop,
  • If you have advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases,
  • If you have great development skills in Scala, Python or Java,
  • If you hav 5+ years of experience in a Data and/or Software Engineer role.
Youll get extra points for:
  • Experience with Nifi and groovy based processors,
  • Spring/springboot based microservices creation,
  • Bash and/or Ansible knowledge,
  • Experience in the financial services area.
  • Experience with stream-processing using Flink or Kafka,
  • Experience in building and optimizing big scale data pipelines, architectures and data sets - in both batch and real-time data integration,
  • Working knowledge of message queuing, stream processing, and highly scalable BigData data stores,
  • Experience working in a DevOps environment - CI/CD, Azure DevOps, Test automation, Dockereld.
Information about squad:


We are the biggest datalake in ING. Besides batch ingestion we do support near real-time data ingestion and distribution using Kafka. We plan to move to a new streaming ingest platform, using container technologies and focus more on being an event based datalake. We have build a generic, metadata driven, data pipeline on top of Nifi. You will be joining a team of experts, where you can learn, share and will have fun.

  • contract of employment
    type of contract
  • 9:00 - 17:00
    work hours
  • Zajęcza 15, Warszawa
    this is the location of our office
Scope of duties
20% - Build the solutions required for optimalloading of data from a wide variety of datasources
15%- Create and maintain, with the team, an optimaldata pipeline architecture
15%- Assemble large, complex data sets that meetfunctional / non-functional requirementsresponse or streaming manner
15%-Identify, design, and implement internalprocess improvements
15%- Keep data separated and secure acrossinternational boundaries through multipledata centers
10%- Work with data and analytics experts to strivefor greater functionality in our data systems
10%- Work with stakeholders including the Data andDesign teams to assist with data-relatedtechnical issues and support their datainfrastructure needs
Your development
  • professional development
  • certificates and knowledge development
  • training budget
  • access to the newest technologies
  • international projects
  • free English courses
Your health, well-being and family
  • provate medical care
  • 50% funded Multisport Card
  • bicycle parking
  • chillout rooms
  • integration events and Stay Fit program
Working conditiions
  • stability of employement
  • fully equipped workstations
  • kitchen
We kindly inform you that we will get in touch only with the chosen candidates.

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APLIKUJ TERAZ