Data Engineer
Montarelo Consulting
Madrid, Madrid, ES
hace 3 días

The company : our customer is a German multinational Corporation that operates all over the world since more than 60 years and is one of the leading providers of Logistics industry.

More than 18,000 employees and around 3.500 Mâ revenue. They will hire the selected candidate as an internal and permanent employee, based in Madrid, but providing services to their global organization.

Personal Skills Requirements and Job Conditions

Job location : Madrid. European Union citizen otherwise valid job permit mandatory.

Expected travel :

Only for onboarding and training purposes at Hamburg area (Germany) when needed.

Education and Training :

¢ Technical training (advanced technical college, university of applied sciences or technical university) or relevant related experience

Languages :

¢ Spanish : Native language, otherwise business fluent

¢ English : Very good Business English required (excellent spoken communication skills). At least B2 / C1 level.

¢ German : Valuable for the position, but not mandatory.

Organizational position : Reporting to the Team Leader Analitics (located in Hamburg)

Employment Type : Permanent Full Time.

Salary : Depending on experience.

Additional benefits :

¢ Friendly and informal atmosphere in a company that cares about an excellent team spirit always encouraging creativity.

¢ Challenging, independent work in an innovative and creative environment.

¢ Professional and personal training opportunities to advance your career.

¢ English and / or German language classes to improve your language skills

¢ Organize your own working hours including the possibility of working from home sometimes.

¢ You will work right in the heart of Madrid in a digital innovation international team.

Purpose of the function :

¢ We are seeking a passionate Data Engineer to join our Corporate Analytics team in Madrid.

Description of the position :

  • Together with Corporate Analytics Team, you are playing the main role for the further development of our current analytics platform and making data available for various analytics projects and business units.
  • Key Responsibilities and tasks :

  • Ingest data from different data sources into our analytics platform
  • Create data pipelines (batch, real-time is upcoming), e.g. IoT data, SAP data; across different staging and deployment environments
  • Integrate new cloud platform services
  • Operate the hybrid (on-premises and azure cloud) analytics platform incl. build pipelines
  • Contribute to the definition of data architecture standards and establish best practices for data management
  • Design and implement data models driven by data science use cases and in the future productive deployment of ML models.
  • Working Experience :

  • More than 2 years of experience as a Data Engineer or similar role.
  • Willing to learn.
  • Professional skills :

    Mandatory skills :

  • Strong SQL scripting skills
  • Hands-on ETL experience using SSIS, others are a bonus
  • Experience of working with Cloud Platforms
  • Experience with implementation and administration of modern Big Data services, preferably on the Azure stack (Databricks, Data Factory, Data Lake)
  • Experience of working with Spark (Scala, PySpark, SparkSQL)
  • Used to work with agile methods and tools e.g. Azure DevOps, Confluence
  • Ability to prioritize tasks and manage to work in multiple projects;
  • Provide technical guidance to other members of a project team
  • Additional skills non mandatory, but valuable for the position :

  • Experience in designing CI / CD pipelines
  • Solid understanding of data warehousing principles, concepts and best practices (e.g. Data Mart, Data Lakes)
  • Experience with SAP systems as a data source
  • Used to work in a remote team
  • Personal skills :

  • Excited about solving problems
  • Great willingness to learn, creativity, reliability as well as commitment.
  • Team player, Collaborative and easy to deal with.
  • Strong communication skills.
  • Quality awareness (someone who pay attention to the details and quality of his work).
  • Client focused / Customer-driven mindset
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