Data Engineer (m/f/d)

  • thyssenkrupp Steel Europe AG
  • 45143 Essen, Germany
  • 12/06/2024
Full time Data Engineering Artificial Intelligence Software Engineering Data Warehouse

Job Description

Operating on a global scale through an international sales and distribution network, thyssenkrupp Materials Trading is your partner for long-term success. With our local contacts around the world we are represented where the customers need us. Our core capabilities include complex logistic services for raw and finished steel materials along with supply chain dependability and consultancy for the downstream manufacturing and metalworking industries. Sustainable action is essential to enable future generations to have a tomorrow worthy living. While the European Union has committed to climate neutrality from 2050, we will achieve this goal as early as 2030. To achieve this, we have firmly anchored sustainability in all its facets in our corporate strategy.

Your responsibilities

  • Encourage strong collaboration with external Product Owners and external Tech Leads to ensure alignment of team's efforts with customer needs
  • Facilitate smooth communication and coordination within our cross-functional data team, acting as a bridge between the expectations of upper management, team & project members, and users
  • Strive for continuous improvement of engineering practices by fostering a culture of collaboration, knowledge-sharing and active knowledge transfer, productivity, and engagement
  • You are responsible for the design and implementation of Data Lake, Data Warehouse and Business Intelligence solutions based on Microsoft Azure technologies and operation of data integration processes / ETL (Data Pipelines, Data Ingest and Data Processing) in line with the DevOps approach
  • This includes encouraging strong collaboration and ensuring alignment between the cross-functional data team and the relevant stakeholders both within our international entity but also within the wider ThyssenKrupp group
  • You create relational and multidimensional data models and support the preparation of data for machine learning models
  • Overall, you foster a culture of engagement, continuous improvement and knowledge transfer. As such, you also help stakeholders with technical questions as well as solutions and ideas with regards to concrete application of data-based solutions

Your profile

  • Bachelor's or Master's degree in Computer Science, Data Science or a related field
  • +3 years of experience as a Data Engineer or in a related field
  • Proficiency in Python; ideally also other programming languages ​​like Java or Scala
  • Proven experience in data management concepts, data mesh, data lake, data warehouse, and data integration projects
  • Experience with data modeling, data warehousing, and ETL processes especially Dynamics 365 related data entities; experience with data visualization tools such as PowerBI and Tableau
  • Experienced in cloud computing using Microsoft Azure (Azure Data Lake, Azure Synapse, Data Factory)
  • Knowledge of SQL and NoSQL databases, familiarity with DevOps capabilities (git, Azure DevOps)
  • ERP experience, security experience and supply chain processes experience are a plus
  • You have worked with different storage formats and know when to use which (ie JSON, Parquet, ORC)
  • You meet challenges with creative problem-solving, working in functional and cross-functional teams, stakeholder-focus and a hands-on approach. Business fluency in English and German is a plus

You don't match all the criteria in our job profile, but you would like to become part of our #GENERATIONTK? Send us your application! We are looking forward to getting to know you!

Your benefits with us

  • Assumption of responsibility
  • Work-life balance (flexible working hours model, home office)
  • Attractive social benefits, such as an excellent company pension plan
  • Participation in group-wide health campaigns
  • Very good professional development opportunities within the team, the company and the Group

Did we spark your interest? We are looking forward to your online application!

Contact

Anne-Christin Fricke

Sourcing & Recruiting
Tel: +49 1743861659