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Data Engineering Lead

vor 2 Monaten


Duisburg, Nordrhein-Westfalen, Deutschland SYNCREON Vollzeit

**Job Summary**

We are seeking a highly skilled Senior Data Engineer to join our team at Syncreon. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data pipelines and architectures.

About the Role

  • You will work closely with our logistics and operations teams to drive innovation in data processing and analysis.
  • You will collaborate with cross-functional teams, including operations excellence, finance, HR, sales, and procurement, to support business objectives.
  • You will work with our senior IT shared services leadership team to ensure alignment with solutions and services.
  • You will maintain good relationships with procurement and finance to support company policies and processes.
  • You will support group compliance, group people, and legal in support of company policies and legal requirements.

Key Responsibilities

  • Design and develop large-scale data pipelines and architectures.
  • Collaborate with cross-functional teams to drive business objectives.
  • Work with senior IT shared services leadership team to ensure alignment.
  • Maintain good relationships with procurement and finance.
  • Support group compliance, group people, and legal.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer with a focus on Databricks and machine learning.
  • Strong proficiency in programming languages such as Python or Scala (Pyspark preferred).
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
  • Solid understanding of data modelling concepts and best practices.
  • Hands-on experience with cloud platforms (Azure).
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration skills.
  • Databricks Associate Certification required.
  • Knowledge and experience in using the MS Azure Analytics Services, especially Azure Databricks, Azure Data Factory, FiveTran as well as MS Purview.
  • Power BI knowledge preferred.

What We Offer

We offer a competitive compensation package and opportunities for professional growth and development within a dynamic and innovative company.