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Big Data Lead Engineer

  • Poznań, wielkopolskie pokaż mapę
  • Specjalista
  • 2018-12-21

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    ROCKWOOL is looking for an industry leading Data Engineer who has strong experience with databases design and architecture, big data handling, data collecting and big data programming. As a Data Engineer at ROCKWOOL you will be given the opportunity to work directly with a team of Digital and Insulation professionals including architects, engineers, analysts to set goals and execute on them with the team.
    The ROCKWOOL Group is world leader in stone wool solutions covering building insulation, industrial and technical insulation for process industry, marine and offshore, customised solutions for industrial applications, wall and facade systems, acoustic ceilings, horticultural substrate solutions, engineered fibres solutions, noise and vibration control.
    ROCKWOOL has recently started a journey towards using more digitalisation, automation and better use of data - and we need your help!
    This is a new role within ROCKWOOL Digital.
    Big Data Lead Engineer
    Workplace: Poznań

    About The Department

    The position is anchored in ROCKWOOL Digital’s Business Intelligence & Analytics team. We are currently looking at building up a Data & Analytics team consisting of a data science architect, data scientists and data engineers. We will collaborate very closely with early research departments, our pilot-scale production department and our large-scale manufacturing departments.

    The Position

    You will be responsible for creating, deliver and maintain new Data Science platforms including data pipelines & integrations, storage, and algorithms processing – for operational use and POC. This, to provide our internal clients with insights on how to improve their business. You will deliver agile as well as solid operational.
    Within the team you will have responsibility for preparing architecture and data for analytical, POC or operational uses. You will collect requirements for analytics platform (functional as well as non-functional) in close cooperation with science architects

    Role & Deliverables

    • Preparing architecture and data for analytical, POC or operational uses
    • Parsing and understanding the data and then taking the lead in building, managing and operationalizing data pipelines
    • Collect requirements for Analytics platform (functional as well as non-functional)
    • Provisioning datasets quickly across multiple, distributed and often diverse datasets within and outside the organizational boundaries
    • Using your knowledge of various development and deployment environments on-premises, in the cloud and across multicloud environments to do Platform selection and implementation
    • Supporting data scientists in training, developing, operationalizing and putting data science models into production
    • Evangelizing data management in the organization to constantly study and suggest new ways of provisioning the right data to the right people at the right time.
    • Ensuring stabile operation, support & maintenance

    Preferred Qualifications:

    • You have knowledge about Data Science
    • You have 5-10 years of professional experience in programming, including at least 4 years in Big Data
    • You have skills within programming languages e.g. C#, Java, Python, R, Ruby, Scala and SQL
    • Good understanding of ETL tools and REST-oriented APIs for creating and managing data integration jobs
    • Fluent English
    • Strong problem solving skills
    • You have experience delivering solutions in an Agile environment
    • You can approach problems in a creative manner.

    As you will have a close collaboration with specialists, scientists and technicians in the department, we expect you to be skilled at collaborating with people with different backgrounds and at communicating complex content across functions, motivating others to hear and follow your ideas

    Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji (zgodnie z Ustawą z dnia 29.08.1997 roku o Ochronie Danych Osobowych; tekst jednolity: Dz. U. 2016 r. poz. 922).