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Data Engineer

  • Wrocław, dolnośląskie pokaż mapę
  • Specjalista
  • 11.01.2019

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    Data Engineer

     

     

    Who you will work with:

    You will be part of the Advanced Analytics team in Wroclaw and a member of our global analytics community.

     

    In McKinsey Analytics we shape the future of what data-driven organizations look like, creating new lines of thinking within a diverse range of clients and situations. We help clients harness data to solve their toughest challenges. In the past, these have included a world-leading bank figuring out how to best do its customer care across all of its channels, a railway determining optimal crew deployment, and a medical care provider understanding the main drivers for delays in surgery scheduling.

     

    We pride ourselves on fostering an atmosphere of ongoing learning and development for those seeking to constantly enhance their capabilities and knowledge. Through efforts like internal grant programs, continuing education, and secondment opportunities, learning and skills-improvement opportunities are endless for our data professionals around the world.

    What you will do:

    Working closely with a collaborative team of data scientists, you will develop strategies for extracting, transforming and optimizing data flows from complex, sometimes disparate, data sources.

     

    You will work with our clients’ entire data ecosystem to enable effective, highly scalable data analysis pipelines and play a critical role in database design, development, data integration and ingestion, as well as designing ETL architectures using a variety of ETL tools and techniques. Most work will be done remotely from Wroclaw, however you will be expected to travel to client locations for meetings. 

     

    Facing new intellectual challenges on a daily basis, you will continuously build your methodological knowledge and skills and contribute to team strategy on knowledge and capability development.

    Qualifications:     

    • Advanced degree in Computer Science, Engineering, Mathematics, Information Systems or related field
    • 2+ years of experience in a data engineering role
    • Strong experience in at least two scripting, object oriented or functional programming language, etc. SQL, Python, Java, Scala, C#, R
    • Knowledge of Linux; Bash is a plus
    • Knowledge of efficient data structures for medium to large data sets for Advanced Analytics applications 
    • Data Warehousing experience, building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models
    • Experience and interest in relational data base management systems (MySQL, IBM DB2, Oracle Database, etc.) and big data technologies (e.g. Hadoop, Presto, Hive, Impala, Spark, HBase)
    • Knowledge of cloud environments (AWS, Azure, Google Cloud Platform) is a plus
    • Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
    • You will have a strong understanding of information security principles to ensure compliant handling and management of client data.
    • Distinctive verbal and written communication skills
    • Excel in team collaboration and working with others with diverse skill-sets and disciplines
    • Highly motivated with the ability to perform under tight deadlines and changing priorities 
    • Enthusiasm and willingness to learn new technologies

    We Offer:

    International environment
    Global & diversified project
    Inclusive & non-hierarchical environment
    Training & development
    Social events & initiatives
    Annual bonus
    Private medical & dental insurance
    Lunch allowance
    Snacks
    Benefit platform
    Polish language classes
    Relocation
    International
    environment
    Global
    &
    diversified
    project
    Inclusive
    &
    non-hierarchical
    environment
    Training
    &
    development
    Social events
    &
    initiatives
    Annual bonus
    Private medical
    &
    dental insurance
    Lunch allowance
    Snacks
    Benefit
    platform
    Polish
    language
    classes
    Relocation
    opisopisopisopis