Lead data engineer

Short Description

Capgemini Application Services focuses on delivery of high quality business and technological solutions.  Our multicultural project teams provide complex software services for our local and international Clients. Currently we are expanding our data team and recruiting for the following role:

  • Significant experience of working within a data and analytics team to deliver data and tools into a data-driven community
  • Pior experience in developing data warehouse applications with ETL/DWH  tools
  • Practical knowledge of designing, implementing and using relational, graph, noSQL databases
  • Proven technical skills with the Hadoop and a broad range of associated technologies, such as Python, Spark, HIVE, NoSQL, SQL, Dataiku, Talend, Linux, Java, Jenkins, Azure, S3, others
  • Experience with big data platforms, data architecture and design techniques and working with large data sets, multidimensional database modelling
  • Excellent communication to senior stakeholders and peers, and the ability to translate technical concepts, and their impacts on the business, to non-technical audiences
  • A collaborative approach to delivery with an owner mindset
  • Very good knowledge of English in speech and writing
  • At least communicative knowledge of Polish language
Job Responsibilities
    • Designing and delivering data models/schemas
    • Designing and implementing solutions around data warehouse implementation ranging from architecture, ETL processes, data pipelines, multidimensional modelling
    • Identifying and implementing ways to increase efficiency and improve data reliability through automation
    • Completing all relevant testing to ensure code is de-bugged and the data marts and tools are robust and accurate
    • Recommending on how data should be structured to deliver optimum user experience at the right speed while minimising platform cost
    • Creating and maintaining both technical and user documentation (including data dictionaries)
    • Providing coaching and guidance to junior data engineers
    • Reporting on data quality and recommend ways to increase data cleanliness and improve our cleansing activities
    • Recommending methodologies for matching and transforming data ( Unified Consumer View)





Poziom doświadczenia:

Experienced Professional

Typ zatrudnienia:

Umowa czasowa



Business units:



Big Data & Analytics